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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7940074a7371928505748d90b9c862ee5b2d225e | 82 | py | Python | haystack/nodes/question_generator/__init__.py | mapapa/haystack | 79fdda8a7cf393d774803608a4874f2a6e63cf6f | [
"Apache-2.0"
] | 7 | 2022-01-22T18:58:54.000Z | 2022-03-18T17:06:35.000Z | haystack/nodes/question_generator/__init__.py | mapapa/haystack | 79fdda8a7cf393d774803608a4874f2a6e63cf6f | [
"Apache-2.0"
] | 17 | 2021-12-08T18:00:58.000Z | 2021-12-28T14:03:27.000Z | haystack/nodes/question_generator/__init__.py | mapapa/haystack | 79fdda8a7cf393d774803608a4874f2a6e63cf6f | [
"Apache-2.0"
] | 1 | 2022-01-05T15:24:36.000Z | 2022-01-05T15:24:36.000Z | from haystack.nodes.question_generator.question_generator import QuestionGenerator | 82 | 82 | 0.926829 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
79423433cdcc39041c7fd83b1754e656cc596c82 | 3,178 | py | Python | backend/api/models.py | AndyPaPaLeu/Disfactory | 4afc370ae6b0d526891fce2b1fe0b9c687309ed1 | [
"MIT"
] | null | null | null | backend/api/models.py | AndyPaPaLeu/Disfactory | 4afc370ae6b0d526891fce2b1fe0b9c687309ed1 | [
"MIT"
] | null | null | null | backend/api/models.py | AndyPaPaLeu/Disfactory | 4afc370ae6b0d526891fce2b1fe0b9c687309ed1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import uuid
from django.conf import settings
from django.contrib.gis.db import models
from django.contrib.gis.geos import Point
from django.contrib.postgres.fields import JSONField
class Factory(models.Model):
"""Factories that are potential to be illegal."""
# List of fact_type & st... | 30.854369 | 89 | 0.636249 | 3,101 | 0.935163 | 0 | 0 | 0 | 0 | 0 | 0 | 830 | 0.250302 |
7943f595c674438a1cfec4698c62343f1a8c742b | 656 | py | Python | infrastructure/crypto_ml/utils/_utils.py | ATCUWgithub/CryptoML | 6010c5daf7d985217fa76197b29331457a60a306 | [
"MIT"
] | 1 | 2020-02-18T00:38:16.000Z | 2020-02-18T00:38:16.000Z | infrastructure/crypto_ml/utils/_utils.py | ATCUWgithub/CryptoML | 6010c5daf7d985217fa76197b29331457a60a306 | [
"MIT"
] | null | null | null | infrastructure/crypto_ml/utils/_utils.py | ATCUWgithub/CryptoML | 6010c5daf7d985217fa76197b29331457a60a306 | [
"MIT"
] | 1 | 2020-02-18T00:39:12.000Z | 2020-02-18T00:39:12.000Z | import json as _json
import datetime as _datetime
def parse_timestamp(dataset, time_format="%Y-%m-%dT%H:%M:%S.000Z"):
for d in dataset:
d["timestamp"] = _datetime.datetime.strptime(d["timestamp"], time_format)
return dataset
def load_json(filename, time_format="%Y-%m-%dT%H:%M:%S.000Z"):
dictionary ... | 29.818182 | 81 | 0.660061 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 114 | 0.17378 |
79442688528877f19538302cd834c0bc231e8349 | 959 | py | Python | leetcode/two_numbers_sum.py | clnFind/DayDayAlgorithm | 5644a666a3d84547d8cf00031fc2e30273cc0e9a | [
"Apache-2.0"
] | null | null | null | leetcode/two_numbers_sum.py | clnFind/DayDayAlgorithm | 5644a666a3d84547d8cf00031fc2e30273cc0e9a | [
"Apache-2.0"
] | null | null | null | leetcode/two_numbers_sum.py | clnFind/DayDayAlgorithm | 5644a666a3d84547d8cf00031fc2e30273cc0e9a | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import copy
class Solution(object):
"""
给定 nums = [2, 7, 11, 15], target = 9
因为 nums[0] + nums[1] = 2 + 7 = 9
所以返回 [0, 1]
"""
def twoSum(self, nums, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[int]
"""
... | 21.795455 | 55 | 0.486966 | 742 | 0.761026 | 0 | 0 | 0 | 0 | 0 | 0 | 251 | 0.257436 |
794467ea5227d786240a4dc2c21fda99810bd1c3 | 1,162 | py | Python | bpcs/bpcs_steg_decode.py | BburnN123/bpcs | f53caede7e202ce07b51890f028b9caf73a22937 | [
"MIT"
] | 20 | 2017-04-25T21:07:24.000Z | 2022-03-30T11:11:47.000Z | bpcs/bpcs_steg_decode.py | BburnN123/bpcs | f53caede7e202ce07b51890f028b9caf73a22937 | [
"MIT"
] | 4 | 2016-04-06T01:19:27.000Z | 2020-09-26T18:38:29.000Z | bpcs/bpcs_steg_decode.py | BburnN123/bpcs | f53caede7e202ce07b51890f028b9caf73a22937 | [
"MIT"
] | 12 | 2017-04-02T23:10:46.000Z | 2022-03-21T03:43:55.000Z | import numpy as np
from .logger import log
from .array_grid import get_next_grid_dims
from .act_on_image import ActOnImage
from .array_message import write_conjugated_message_grids
from .bpcs_steg import arr_bpcs_complexity
def remove_message_from_vessel(arr, alpha, grid_size):
messages = []
nfound, nkept, nl... | 33.2 | 101 | 0.692771 | 129 | 0.111015 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 0.046472 |
7946dedb29967a5ff96a8d7cd312b2fd2bc51b15 | 6,859 | py | Python | notebooks/02_crash_severity.py | jennan/crash_prediction | 498b59704ed2aca61c78e4eb7c5558abe9edaffc | [
"MIT"
] | 3 | 2020-12-07T04:07:04.000Z | 2021-08-19T10:41:08.000Z | notebooks/02_crash_severity.py | jennan/crash_prediction | 498b59704ed2aca61c78e4eb7c5558abe9edaffc | [
"MIT"
] | 2 | 2020-12-10T19:12:02.000Z | 2020-12-10T19:12:08.000Z | notebooks/02_crash_severity.py | jennan/crash_prediction | 498b59704ed2aca61c78e4eb7c5558abe9edaffc | [
"MIT"
] | 2 | 2021-04-14T14:32:39.000Z | 2021-12-10T10:36:59.000Z | # # Exploration of the crash severity information in CAS data
#
# In this notebook, we will explore the severity of crashes, as it will be the
# target of our predictive models.
from pathlib import Path
import numpy as np
import pandas as pd
import scipy.stats as st
import matplotlib.pyplot as plt
import seaborn as s... | 30.896396 | 85 | 0.697478 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,987 | 0.581195 |
794737a97c176c9f701f94c89a9d3fa6ea1cba13 | 601 | py | Python | python/cartpole1.py | lusing/mljs | 4c708bb8e0759803ed94ead3e9cfadc3a97d6ed8 | [
"MIT"
] | null | null | null | python/cartpole1.py | lusing/mljs | 4c708bb8e0759803ed94ead3e9cfadc3a97d6ed8 | [
"MIT"
] | null | null | null | python/cartpole1.py | lusing/mljs | 4c708bb8e0759803ed94ead3e9cfadc3a97d6ed8 | [
"MIT"
] | null | null | null | import gym
def cartpole():
environment = gym.make('CartPole-v1')
environment.reset()
for i in range(1000):
# environment.render()
action = environment.action_space.sample()
observation, reward, done, info = environment.step(action)
print("Step {}:".format(i))
print("... | 28.619048 | 66 | 0.577371 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 117 | 0.194676 |
794855d07b967464fa463b2ba9dd7683a00f2311 | 3,466 | py | Python | kw3pan/pancakeswap/factory/core/pancakeswap_factory.py | kkristof200/py_web3_pancakeswap | ae9dc7021b7da2365ce675f29f89e103fe44d77f | [
"MIT"
] | 6 | 2021-05-09T12:43:37.000Z | 2021-12-07T01:56:02.000Z | kw3pan/pancakeswap/factory/core/pancakeswap_factory.py | kkristof200/py_web3_pancakeswap | ae9dc7021b7da2365ce675f29f89e103fe44d77f | [
"MIT"
] | null | null | null | kw3pan/pancakeswap/factory/core/pancakeswap_factory.py | kkristof200/py_web3_pancakeswap | ae9dc7021b7da2365ce675f29f89e103fe44d77f | [
"MIT"
] | null | null | null | # ------------------------------------------------------------ Imports ----------------------------------------------------------- #
# System
from typing import Optional
# Pip
from kw3 import WrappedContract, Web3
from kw3.constants import Constants as KW3Constants
# Local
from ._abi import pancakeswap_factory_abi
... | 28.409836 | 132 | 0.467398 | 2,590 | 0.747259 | 0 | 0 | 0 | 0 | 0 | 0 | 940 | 0.271206 |
794b0eee657db516c725d2d35f15819da5d490ca | 17,648 | py | Python | functions_for_AirBnB.py | dalpengholic/Udacity_Boston-AirBNB-Data | ef918f4ddf8041a9f646e6fe786730f191746c2b | [
"MIT"
] | null | null | null | functions_for_AirBnB.py | dalpengholic/Udacity_Boston-AirBNB-Data | ef918f4ddf8041a9f646e6fe786730f191746c2b | [
"MIT"
] | null | null | null | functions_for_AirBnB.py | dalpengholic/Udacity_Boston-AirBNB-Data | ef918f4ddf8041a9f646e6fe786730f191746c2b | [
"MIT"
] | null | null | null | # The collection of functions for the Boston AirBnB dataset
# import necessary libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from pandas.tseries.holiday import USFederalHolidayCalendar as calendar #To check holidays in the U.S
import time
import copy
def load_b... | 54.807453 | 501 | 0.716228 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,278 | 0.469062 |
794b69e64ae775672890ac0f8ee3c75b24418261 | 2,898 | py | Python | src/junction/markdown/info_panels.py | explody/Junction | 700df9385fceda00d6830816606d8854dc9cef7b | [
"MIT"
] | 16 | 2020-04-28T07:03:26.000Z | 2022-03-05T14:26:40.000Z | src/junction/markdown/info_panels.py | explody/Junction | 700df9385fceda00d6830816606d8854dc9cef7b | [
"MIT"
] | 14 | 2020-03-19T04:32:18.000Z | 2021-03-05T23:54:47.000Z | src/junction/markdown/info_panels.py | explody/Junction | 700df9385fceda00d6830816606d8854dc9cef7b | [
"MIT"
] | 3 | 2021-01-19T18:39:00.000Z | 2022-02-14T23:51:07.000Z | from typing import List, Any
from markdown import Markdown
from markdown.extensions import Extension
from markdown.blockprocessors import BlockProcessor
import re
import xml.etree.ElementTree as etree
class InfoPanelExtension(Extension):
"""Markdown extension for rendering the Confluence info panel macro. Only s... | 32.931818 | 103 | 0.596963 | 2,593 | 0.894755 | 0 | 0 | 0 | 0 | 0 | 0 | 807 | 0.278468 |
794c1314bf22e9986c1038e23ccfa6cf2ec03b66 | 5,096 | py | Python | ppo.py | ajleite/basic-ppo | e9d823275dda3c376e3e0f7d66e8dfb815b434d8 | [
"MIT"
] | 2 | 2020-06-27T11:44:19.000Z | 2022-01-11T21:23:01.000Z | ppo.py | ajleite/basic-ppo | e9d823275dda3c376e3e0f7d66e8dfb815b434d8 | [
"MIT"
] | null | null | null | ppo.py | ajleite/basic-ppo | e9d823275dda3c376e3e0f7d66e8dfb815b434d8 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# Copyright 2019 Abe Leite
# Based on "Proximal Policy Optimization Algorithms", Schulman et al 2017
# For the benefit of my fellow CSCI-B 659 students
# While I hope that this code is helpful I will not vouch for its total accuracy;
# my primary aim here is to elucidate the ideas from the paper.
i... | 40.768 | 113 | 0.615385 | 2,331 | 0.457418 | 0 | 0 | 1,924 | 0.377551 | 0 | 0 | 670 | 0.131476 |
794c7683b545a543ae42b9c3d18137a15b824634 | 2,620 | py | Python | youtube_dl/views.py | Shovon588/api_collection | f348ffa8dc5c4dc69ba4c2a7d145c71e8273e0a2 | [
"MIT"
] | null | null | null | youtube_dl/views.py | Shovon588/api_collection | f348ffa8dc5c4dc69ba4c2a7d145c71e8273e0a2 | [
"MIT"
] | null | null | null | youtube_dl/views.py | Shovon588/api_collection | f348ffa8dc5c4dc69ba4c2a7d145c71e8273e0a2 | [
"MIT"
] | null | null | null | from pytube import YouTube
from rest_framework import status
from rest_framework.response import Response
from rest_framework.views import APIView
from .serializers import YoutubeDLSerializer
from .utils import make_time, make_size
class YoutubeDL(APIView):
serializer_class = YoutubeDLSerializer
def post(se... | 34.933333 | 111 | 0.500763 | 2,384 | 0.909924 | 0 | 0 | 0 | 0 | 0 | 0 | 282 | 0.107634 |
794d1639433e46b61c5a932940ac1015c7fa9ee0 | 593 | py | Python | tomolab/DataSources/PET/__init__.py | TomographyLab/TomoLab | 86b9a5894ef1660d7f4de39f560f1f92024b40f8 | [
"Apache-2.0"
] | 5 | 2019-06-01T13:16:00.000Z | 2022-03-02T10:21:59.000Z | tomolab/DataSources/PET/__init__.py | TomographyLab/TomoLab | 86b9a5894ef1660d7f4de39f560f1f92024b40f8 | [
"Apache-2.0"
] | null | null | null | tomolab/DataSources/PET/__init__.py | TomographyLab/TomoLab | 86b9a5894ef1660d7f4de39f560f1f92024b40f8 | [
"Apache-2.0"
] | 1 | 2019-06-01T13:19:18.000Z | 2019-06-01T13:19:18.000Z | # -*- coding: utf-8 -*-
# tomolab
# Michele Scipioni
# Harvard University, Martinos Center for Biomedical Imaging
# University of Pisa
__all__ = ['convert_listmode_dicom_to_interfile',
'import_interfile_projection', 'export_interfile_projection', 'import_h5f_projection',
'import_interfile_volume... | 37.0625 | 105 | 0.812816 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 298 | 0.50253 |
794d44a2cc74842f8b8d00f81d2ce675f076304a | 5,043 | py | Python | coot/data/ht100m_dataset.py | Jabb0/coot-videotext | 2da20a3f3a50b69677e59869b02cbd72945913d9 | [
"Apache-2.0"
] | null | null | null | coot/data/ht100m_dataset.py | Jabb0/coot-videotext | 2da20a3f3a50b69677e59869b02cbd72945913d9 | [
"Apache-2.0"
] | null | null | null | coot/data/ht100m_dataset.py | Jabb0/coot-videotext | 2da20a3f3a50b69677e59869b02cbd72945913d9 | [
"Apache-2.0"
] | null | null | null | import json
import pandas as pd
import numpy as np
from typing import Union, List
from pathlib import Path
from timeit import default_timer as timer
from nntrainer import data as nn_data
def _time_to_seconds(time_column):
return pd.to_timedelta(time_column).dt.total_seconds()
class HT100MBaseDataset:
"""... | 37.917293 | 113 | 0.628594 | 4,748 | 0.941503 | 0 | 0 | 0 | 0 | 0 | 0 | 1,775 | 0.351973 |
794d94442dfccd9fb0860ed1722ed3107bbed462 | 1,244 | py | Python | qiime_16s/combine_collapsed_otu_tables.py | lotrus28/TaboCom | b67d66e4c410375a9efa08c5e637301e78e9204b | [
"Apache-2.0"
] | null | null | null | qiime_16s/combine_collapsed_otu_tables.py | lotrus28/TaboCom | b67d66e4c410375a9efa08c5e637301e78e9204b | [
"Apache-2.0"
] | null | null | null | qiime_16s/combine_collapsed_otu_tables.py | lotrus28/TaboCom | b67d66e4c410375a9efa08c5e637301e78e9204b | [
"Apache-2.0"
] | null | null | null | import sys
import re
import pandas as pd
def combine_otu_tables(path_to_files):
with open(path_to_files) as a:
filenames = a.read().splitlines()
separated = {re.search(r'ERR\d+?(?=_)',x).group(0):pd.read_table(x, sep = '\t', index_col = 1, header = None,engine='python')
for x in file... | 30.341463 | 129 | 0.639871 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0.111736 |
794e02a9abb8bfa43732422f20b7e7e3ffdaefeb | 10,950 | py | Python | bambinocampones/src/bambinocampones/website/migrations/0002_auto__add_field_galeria_foi_importante.py | ProfessionalIT/customers | 3dbc1989bb3494fb6de7edad67dc59b7b0385ac3 | [
"MIT"
] | null | null | null | bambinocampones/src/bambinocampones/website/migrations/0002_auto__add_field_galeria_foi_importante.py | ProfessionalIT/customers | 3dbc1989bb3494fb6de7edad67dc59b7b0385ac3 | [
"MIT"
] | 1 | 2015-11-08T11:49:35.000Z | 2015-11-08T11:49:43.000Z | bambinocampones/src/bambinocampones/website/migrations/0002_auto__add_field_galeria_foi_importante.py | ProfessionalIT/customers | 3dbc1989bb3494fb6de7edad67dc59b7b0385ac3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from south.utils import datetime_utils as datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Galeria.foi_importante'
db.add_column(u'websit... | 69.303797 | 172 | 0.541918 | 10,776 | 0.98411 | 0 | 0 | 0 | 0 | 0 | 0 | 7,100 | 0.648402 |
794e90ebf4066373e9e80503d5223bdfcb0a3273 | 580 | py | Python | lab8/point.py | kuzkov/computational-geometry | 4411231a8097e618e03b3ef0ad5836e49e837216 | [
"MIT"
] | 1 | 2021-04-04T07:34:14.000Z | 2021-04-04T07:34:14.000Z | lab8/point.py | kuzkov/computational-geometry | 4411231a8097e618e03b3ef0ad5836e49e837216 | [
"MIT"
] | null | null | null | lab8/point.py | kuzkov/computational-geometry | 4411231a8097e618e03b3ef0ad5836e49e837216 | [
"MIT"
] | 1 | 2021-02-18T09:50:10.000Z | 2021-02-18T09:50:10.000Z | import math
import numpy as np
from vector import Vector
import segment as segment_lib
class Point(Vector):
def direction(self, segment):
det = np.linalg.det([
segment.as_vector().as_array(),
segment_lib.Segment(segment.p1, self).as_vector().as_array()
])
return 1 i... | 25.217391 | 91 | 0.631034 | 490 | 0.844828 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0.041379 |
794ebda12bc12785e1d67a516bc488f2cac0229b | 424 | py | Python | setup_s3_bucket.py | chambridge/aws-cost-mgmt-access | 994d3ed62601469d2d68a67e6806a3601178328a | [
"MIT"
] | null | null | null | setup_s3_bucket.py | chambridge/aws-cost-mgmt-access | 994d3ed62601469d2d68a67e6806a3601178328a | [
"MIT"
] | null | null | null | setup_s3_bucket.py | chambridge/aws-cost-mgmt-access | 994d3ed62601469d2d68a67e6806a3601178328a | [
"MIT"
] | null | null | null | import os
from cloud.aws_service import AwsService
def main():
"""Execute script."""
region = os.environ.get('REGION', 'us-east-1')
s3_bucket = os.environ.get('S3_BUCKET', 'costmgmtacct1234')
aws = AwsService()
result = aws.create_bucket(s3_bucket, region)
if result:
print(f'S3 bucke... | 22.315789 | 63 | 0.653302 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147 | 0.346698 |
794f5243f54f0804ec162bec691a557c23883c30 | 773 | py | Python | shared/charge_controller_tcp_driver/exemple_driver.py | EDF-Lab/EDF | 3ab2d9e1820dfb713bbd54c91ba72d7d32d998f9 | [
"MIT"
] | 16 | 2022-02-11T14:49:04.000Z | 2022-03-30T07:33:45.000Z | shared/charge_controller_tcp_driver/exemple_driver.py | EDF-Lab/EDF | 3ab2d9e1820dfb713bbd54c91ba72d7d32d998f9 | [
"MIT"
] | 1 | 2022-02-16T15:23:50.000Z | 2022-02-21T15:30:21.000Z | shared/charge_controller_tcp_driver/exemple_driver.py | EDF-Lab/EDF | 3ab2d9e1820dfb713bbd54c91ba72d7d32d998f9 | [
"MIT"
] | 1 | 2022-03-24T10:52:28.000Z | 2022-03-24T10:52:28.000Z |
import sys
sys.path.append("..")
import time
from charge_controller_tcp_driver.charge_controller_tcp_client_helper import *
if __name__ == '__main__':
helper = ChargeControllerTCPClientHelper("169.254.43.3", 12500)
time.sleep(3)
helper.set_pwm(100)
print("PWM:", helper.get_pwm())
#time.sleep(10)... | 24.15625 | 78 | 0.648124 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 267 | 0.345408 |
794f8be8a7920197768cc08897059ca509f8735d | 5,312 | py | Python | tests/test_intent_classification.py | BatsResearch/zsl-kg | 9bc4d4537a0f90ee3bbcefdf90ceae6dbcf48572 | [
"Apache-2.0"
] | 83 | 2021-08-30T02:50:37.000Z | 2022-02-22T09:37:36.000Z | tests/test_intent_classification.py | BatsResearch/zsl-kg | 9bc4d4537a0f90ee3bbcefdf90ceae6dbcf48572 | [
"Apache-2.0"
] | 2 | 2021-09-10T08:44:13.000Z | 2022-01-23T17:33:35.000Z | tests/test_intent_classification.py | BatsResearch/zsl-kg | 9bc4d4537a0f90ee3bbcefdf90ceae6dbcf48572 | [
"Apache-2.0"
] | 6 | 2021-09-10T07:09:41.000Z | 2021-11-07T14:31:33.000Z | import os
from typing import Text
import torch
import unittest
import torch.nn as nn
import torch.optim as optim
from allennlp.models import Model
from allennlp.data.vocabulary import Vocabulary
from zsl_kg.class_encoders.auto_gnn import AutoGNN
from zsl_kg.example_encoders.text_encoder import TextEncoder
from zsl_kg... | 31.247059 | 77 | 0.573419 | 4,689 | 0.882718 | 0 | 0 | 0 | 0 | 0 | 0 | 600 | 0.112952 |
79509ae0de663c69b13b3aa40296a01c2a31c785 | 5,077 | py | Python | chase/simulation.py | Motwg/WolfAndSheep-2019 | d6c50660368661fddf88dc860caac7236a791beb | [
"MIT"
] | null | null | null | chase/simulation.py | Motwg/WolfAndSheep-2019 | d6c50660368661fddf88dc860caac7236a791beb | [
"MIT"
] | null | null | null | chase/simulation.py | Motwg/WolfAndSheep-2019 | d6c50660368661fddf88dc860caac7236a791beb | [
"MIT"
] | null | null | null | import csv
import json
import logging
import math
import random as ran
def distance(point1, point2):
logging.debug("Args: {0}".format(locals()))
if type(point1) != type(point2):
logging.warning("Types of given arguments are different: {0} != {1}".format(point1, point2))
logging.debug("Returns: {0}... | 32.33758 | 104 | 0.554855 | 2,318 | 0.456569 | 0 | 0 | 554 | 0.10912 | 0 | 0 | 588 | 0.115816 |
79509e0da59087724c7ad32862f4a10871238e6b | 4,518 | py | Python | anchorgql/runlocal.py | vybenetwork/anchorgql | d8a8a3fa332e0076f20061689951645c0dae1642 | [
"MIT"
] | 1 | 2022-02-20T22:05:26.000Z | 2022-02-20T22:05:26.000Z | anchorgql/runlocal.py | vybenetwork/anchorgql | d8a8a3fa332e0076f20061689951645c0dae1642 | [
"MIT"
] | null | null | null | anchorgql/runlocal.py | vybenetwork/anchorgql | d8a8a3fa332e0076f20061689951645c0dae1642 | [
"MIT"
] | null | null | null | import json
import subprocess
import asyncio
from solana.rpc.async_api import AsyncClient
from solana.publickey import PublicKey
from anchorpy import Program, Provider, Wallet
class bcolors:
HEADER = '\033[95m'
OKBLUE = '\033[94m'
OKCYAN = '\033[96m'
OKGREEN = '\033[92m'
WARNING = '\033[93m'
F... | 36.144 | 132 | 0.588092 | 226 | 0.050022 | 0 | 0 | 0 | 0 | 515 | 0.113988 | 1,828 | 0.404604 |
7950faaf8969b4bfd67614a72bff42f402a632e6 | 357 | py | Python | bookwyrm/activitypub/image.py | mouse-reeve/fedireads | e3471fcc3500747a1b1deaaca662021aae5b08d4 | [
"CC0-1.0"
] | 270 | 2020-01-27T06:06:07.000Z | 2020-06-21T00:28:18.000Z | bookwyrm/activitypub/image.py | mouse-reeve/fedireads | e3471fcc3500747a1b1deaaca662021aae5b08d4 | [
"CC0-1.0"
] | 158 | 2020-02-10T20:36:54.000Z | 2020-06-26T17:12:54.000Z | bookwyrm/activitypub/image.py | mouse-reeve/fedireads | e3471fcc3500747a1b1deaaca662021aae5b08d4 | [
"CC0-1.0"
] | 15 | 2020-02-13T21:53:33.000Z | 2020-06-17T16:52:46.000Z | """ an image, nothing fancy """
from dataclasses import dataclass
from .base_activity import ActivityObject
@dataclass(init=False)
class Document(ActivityObject):
"""a document"""
url: str
name: str = ""
type: str = "Document"
id: str = None
@dataclass(init=False)
class Image(Document):
"""... | 17 | 41 | 0.64986 | 197 | 0.551821 | 0 | 0 | 243 | 0.680672 | 0 | 0 | 80 | 0.22409 |
795109620dee96ad8eef48181ff1ae3077d016d2 | 477 | py | Python | TradzQAI/tools/indicators/moving_average_convergence_divergence.py | kkuette/AI_project | 1f46cb2536b24cb3716250f1e9705daa76af4f60 | [
"Apache-2.0"
] | 164 | 2017-11-24T13:07:04.000Z | 2022-03-10T04:54:46.000Z | TradzQAI/tools/indicators/moving_average_convergence_divergence.py | kkuette/AI_project | 1f46cb2536b24cb3716250f1e9705daa76af4f60 | [
"Apache-2.0"
] | 21 | 2018-09-29T10:27:10.000Z | 2019-06-12T07:01:58.000Z | TradzQAI/tools/indicators/moving_average_convergence_divergence.py | kkuette/AI_project | 1f46cb2536b24cb3716250f1e9705daa76af4f60 | [
"Apache-2.0"
] | 49 | 2018-05-09T17:28:52.000Z | 2022-02-27T04:50:45.000Z | from .catch_errors import check_for_period_error
from .exponential_moving_average import exponential_moving_average as ema
def moving_average_convergence_divergence(data, short_period, long_period):
"""
Moving Average Convergence Divergence.
Formula:
EMA(DATA, P1) - EMA(DATA, P2)
"""
check_for... | 29.8125 | 75 | 0.761006 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 0.213836 |
795164e9b019d5e0233e60502428b4c2cb401ddf | 4,647 | py | Python | scripts/scrape_cgc.py | eklipse2009/ZX-Pokemaster | 113bf2e242347b475cca9eadbae4f1b67f498466 | [
"MIT"
] | 8 | 2018-11-18T00:37:25.000Z | 2020-12-06T13:17:53.000Z | scripts/scrape_cgc.py | eklipse2009/ZX-Pokemaster | 113bf2e242347b475cca9eadbae4f1b67f498466 | [
"MIT"
] | 8 | 2017-08-21T10:07:58.000Z | 2020-03-29T18:23:37.000Z | scripts/scrape_cgc.py | eklipse2009/ZX-Pokemaster | 113bf2e242347b475cca9eadbae4f1b67f498466 | [
"MIT"
] | 1 | 2021-03-04T17:43:36.000Z | 2021-03-04T17:43:36.000Z | import os
import glob
import shutil
import zipfile
from functions.game_name_functions import *
if (os.getcwd().endswith('scripts')):
os.chdir('..')
from classes.scraper import *
def scrape_csscgc():
# if os.path.exists('tosec\\CSSCGC Games'):
# shutil.rmtree('tosec\\CSSCGC Games')
s = Scraper()
... | 49.967742 | 114 | 0.497095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 658 | 0.141597 |
7951a7941dd6bc9bef1b322015def6a9a9e06453 | 328 | py | Python | app/pit/forms.py | edynox/iis | 594200506b641cbac249dc6e95d229bea1edeb28 | [
"MIT"
] | null | null | null | app/pit/forms.py | edynox/iis | 594200506b641cbac249dc6e95d229bea1edeb28 | [
"MIT"
] | null | null | null | app/pit/forms.py | edynox/iis | 594200506b641cbac249dc6e95d229bea1edeb28 | [
"MIT"
] | null | null | null | from django.forms import ModelForm
from ..models import Pit
class PitForm(ModelForm):
class Meta:
model = Pit
fields = ['location']
def __init__(self, *args, **kwargs):
super(ModelForm, self).__init__(*args, **kwargs)
self.fields['location'].widget.attrs['class'] = 'form-co... | 25.230769 | 70 | 0.631098 | 265 | 0.807927 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0.125 |
7952609e9f72568f6207d4ca79537c3b28a117d4 | 203 | py | Python | classy_start/paths.py | mfonism/django-classy-start | 70b73e1a836c2ae4c3bae6f53846b07a30a81ac0 | [
"MIT"
] | 1 | 2022-01-20T18:48:46.000Z | 2022-01-20T18:48:46.000Z | classy_start/paths.py | mfonism/django-classy-start | 70b73e1a836c2ae4c3bae6f53846b07a30a81ac0 | [
"MIT"
] | 8 | 2020-10-05T15:27:07.000Z | 2021-02-16T17:17:54.000Z | classy_start/paths.py | mfonism/django-classy-start | 70b73e1a836c2ae4c3bae6f53846b07a30a81ac0 | [
"MIT"
] | 5 | 2020-10-05T18:11:44.000Z | 2022-01-21T18:33:13.000Z | import pathlib
TEMPLATES_DIR = pathlib.Path(__file__).resolve(strict=True).parent / 'conf'
APP_TEMPLATES_DIR = TEMPLATES_DIR / 'app_template'
PROJECT_TEMPLATES_DIR = TEMPLATES_DIR / 'project_template'
| 29 | 75 | 0.807882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0.187192 |
79526a360c29da4c2b5320e1dc30a9a350d4bff9 | 5,249 | py | Python | molar/backend/database/query.py | aspuru-guzik-group/molar | a3e0c337bd8a41c94b2c25831c95048cc7614f04 | [
"BSD-3-Clause"
] | 4 | 2021-07-20T18:49:44.000Z | 2021-10-15T00:58:12.000Z | molar/backend/database/query.py | aspuru-guzik-group/molar | a3e0c337bd8a41c94b2c25831c95048cc7614f04 | [
"BSD-3-Clause"
] | null | null | null | molar/backend/database/query.py | aspuru-guzik-group/molar | a3e0c337bd8a41c94b2c25831c95048cc7614f04 | [
"BSD-3-Clause"
] | 2 | 2022-01-07T17:57:42.000Z | 2022-01-13T21:00:20.000Z | # std
from typing import Any, Dict, List, Optional, Union
# external
import pkg_resources
import sqlalchemy
from sqlalchemy.orm import aliased, Session
# molar
from molar.backend import schemas
from molar.backend.database.utils import sqlalchemy_to_dict
INFORMATION_QUERY = open(
pkg_resources.resource_filename("... | 30.34104 | 87 | 0.594589 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 351 | 0.06687 |
7952969e6d0b68c2f855a88488afaf384b30fc3f | 2,377 | py | Python | days/day_04/main.py | gkpotter/advent-of-code-2020 | 76ed77719a8f6396511dabce99d46995946edb01 | [
"MIT"
] | null | null | null | days/day_04/main.py | gkpotter/advent-of-code-2020 | 76ed77719a8f6396511dabce99d46995946edb01 | [
"MIT"
] | null | null | null | days/day_04/main.py | gkpotter/advent-of-code-2020 | 76ed77719a8f6396511dabce99d46995946edb01 | [
"MIT"
] | null | null | null | import time
import os
def all_fields_present(passport):
fields = ['byr','iyr','eyr','hgt','hcl','ecl','pid']
for field in fields:
if field not in passport:
return False
return True
def is_valid(passport):
if not all_fields_present(passport):
return False
byr = passport['byr']
if not (is_year(byr) and i... | 20.491379 | 76 | 0.641565 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 223 | 0.093816 |
795299febd0881f339bf75a4c01b525d81a4103e | 1,089 | py | Python | fa_management_server/models/role.py | Msms-NJ/fa_management_server | 6787e35a5ac27c27c61fcaa0f508a78f4dc6e8f9 | [
"MIT"
] | null | null | null | fa_management_server/models/role.py | Msms-NJ/fa_management_server | 6787e35a5ac27c27c61fcaa0f508a78f4dc6e8f9 | [
"MIT"
] | null | null | null | fa_management_server/models/role.py | Msms-NJ/fa_management_server | 6787e35a5ac27c27c61fcaa0f508a78f4dc6e8f9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Role models."""
from dataclasses import dataclass
from array import array
from .database import Column, Model, SurrogatePK, db, reference_col, relationship
from sqlalchemy.dialects.postgresql import ARRAY
@dataclass
class Role(SurrogatePK, Model):
"""用户角色信息表"""
__tablename__ = "role... | 26.560976 | 81 | 0.673095 | 973 | 0.798195 | 0 | 0 | 984 | 0.807219 | 0 | 0 | 386 | 0.316653 |
79539f171b11d067d372dd7f773b3f28ca1c0d21 | 5,696 | py | Python | caller.py | xopherw/algotrader | 6daafe165d7eb4d5d34b2a7051e102f15bcb71dd | [
"MIT"
] | null | null | null | caller.py | xopherw/algotrader | 6daafe165d7eb4d5d34b2a7051e102f15bcb71dd | [
"MIT"
] | null | null | null | caller.py | xopherw/algotrader | 6daafe165d7eb4d5d34b2a7051e102f15bcb71dd | [
"MIT"
] | 1 | 2022-01-19T14:49:42.000Z | 2022-01-19T14:49:42.000Z | import requests, datetime as dt, numpy as np, pandas as pd, pytz
from dateutil.relativedelta import relativedelta
# Call for raw data (NASDAQ)
def nsdq_data(ticker):
try:
today = dt.datetime.now(pytz.timezone('US/Eastern')).date()
past = today - relativedelta(years= 5)
price = current_pric... | 34.107784 | 119 | 0.548631 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,823 | 0.320049 |
79540db7343cd37c04169f2c2a9534f0c0ea7d5c | 1,187 | py | Python | code/math_examples.py | rustam-fork/ml-course-uz | e1554d4c69bf0e421aa596d77aab65639df1ff73 | [
"MIT"
] | 21 | 2018-01-05T09:24:49.000Z | 2021-04-24T03:25:25.000Z | code/math_examples.py | rustam-fork/ml-course-uz | e1554d4c69bf0e421aa596d77aab65639df1ff73 | [
"MIT"
] | 1 | 2019-11-11T18:34:53.000Z | 2019-11-13T15:56:10.000Z | code/math_examples.py | rustam-fork/ml-course-uz | e1554d4c69bf0e421aa596d77aab65639df1ff73 | [
"MIT"
] | 13 | 2018-01-05T10:26:47.000Z | 2022-01-25T07:48:33.000Z | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
def draw_parabola(steps=50):
x = np.linspace(-4, 4, steps)
plt.plot(x, x ** 2)
plt.axvline(x=0, color='b', linestyle='dashed')
def draw_paraboloid(steps=50):
fig = plt.figure(figsize=... | 27.604651 | 118 | 0.57877 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.019377 |
79549336a4241631b02e785750cc140cfc8710c5 | 15,643 | py | Python | crawler/crawler_2.py | marxlee/py-tools | 4c3699b2a5dd5cb4477a4e339b8f91161cbe3bef | [
"Apache-2.0"
] | null | null | null | crawler/crawler_2.py | marxlee/py-tools | 4c3699b2a5dd5cb4477a4e339b8f91161cbe3bef | [
"Apache-2.0"
] | null | null | null | crawler/crawler_2.py | marxlee/py-tools | 4c3699b2a5dd5cb4477a4e339b8f91161cbe3bef | [
"Apache-2.0"
] | null | null | null |
from urllib import request
import random
import json
# 摸你请求头
url = r'https://www.baidu.com/s?cl=3&tn=baidutop10&fr=top1000&wd=%E7%9F%B3%E7%94%B0%E7%BA%AF%E4%B8%80%E6%84%9F%E6%9F%93%E6%96%B0%E5%86%A0&rsv_idx=2&rsv_dl=fyb_n_homepage&hisfilter=1'
# 代理列表
agent_list = [
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_1) ... | 140.927928 | 6,714 | 0.915681 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14,535 | 0.924795 |
7954a7bbe8ccac9a9d76513832ed91b4c1c715ad | 3,075 | py | Python | tests/onegov/town6/test_views.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/town6/test_views.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | tests/onegov/town6/test_views.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | import onegov.core
import onegov.org
from tests.shared import utils
def test_view_permissions():
utils.assert_explicit_permissions(onegov.org, onegov.org.OrgApp)
def test_notfound(client):
notfound_page = client.get('/foobar', expect_errors=True)
assert "Seite nicht gefunden" in notfound_page
assert... | 27.212389 | 74 | 0.67935 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 997 | 0.324017 |
795502273dc48fdf684fe2e0b8c17dbaab75cc3f | 8,530 | pyw | Python | main.pyw | Niyco/Cipher-tool | a0689daf8e8a087571d447efe6e98c206364316f | [
"MIT"
] | null | null | null | main.pyw | Niyco/Cipher-tool | a0689daf8e8a087571d447efe6e98c206364316f | [
"MIT"
] | null | null | null | main.pyw | Niyco/Cipher-tool | a0689daf8e8a087571d447efe6e98c206364316f | [
"MIT"
] | null | null | null | import tkinter as tk
from tkinter import filedialog
from Solve_stages import *
from Text_stages import *
from Analysis_stages import *
from Output import *
root = tk.Tk()
root.title("Cipher program")
root.geometry("1500x500")
root.state("zoomed") #apparently windows only
def getOutputText():
text = ""
for sta... | 36.609442 | 149 | 0.710785 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,190 | 0.139426 |
7956dd9954a869adae25776f34d9cfad6f7f2ede | 1,912 | py | Python | mp/data/pytorch/domain_prediction_dataset_wrapper.py | MECLabTUDA/OOD-Gen | f85ea9106ae1425f18e34c9d82fa3ca4925d8d9e | [
"MIT"
] | null | null | null | mp/data/pytorch/domain_prediction_dataset_wrapper.py | MECLabTUDA/OOD-Gen | f85ea9106ae1425f18e34c9d82fa3ca4925d8d9e | [
"MIT"
] | null | null | null | mp/data/pytorch/domain_prediction_dataset_wrapper.py | MECLabTUDA/OOD-Gen | f85ea9106ae1425f18e34c9d82fa3ca4925d8d9e | [
"MIT"
] | null | null | null | from mp.data.pytorch.pytorch_dataset import PytorchDataset
from mp.data.datasets.dataset import Instance
import copy
import torch
class DomainPredictionDatasetWrapper(PytorchDataset):
r"""Wraps a PytorchDataset to reuse its instances.x and replacing the labels"""
def __init__(self, pytorch_ds, target_idx):
... | 40.680851 | 97 | 0.671548 | 1,779 | 0.930439 | 0 | 0 | 0 | 0 | 0 | 0 | 791 | 0.413703 |
7956e8f8d0ec0fef2a695bd6195a66b5f1e4e0e9 | 420 | py | Python | docs/python/attachments/animals.py | Benbinbin/blog-data | e98b6560253bb6a1aa35e08b4ba36d03194920d1 | [
"MIT"
] | null | null | null | docs/python/attachments/animals.py | Benbinbin/blog-data | e98b6560253bb6a1aa35e08b4ba36d03194920d1 | [
"MIT"
] | null | null | null | docs/python/attachments/animals.py | Benbinbin/blog-data | e98b6560253bb6a1aa35e08b4ba36d03194920d1 | [
"MIT"
] | null | null | null |
class Dog:
def speak(self):
print("Woof!")
def __init__(self, name):
self.name = name
def hear(self, words):
if self.name in words:
self.speak()
class Husky(Dog):
origin = "Siberia"
def speak(self):
print("Awoo!")
class Chihuahua(Dog):
origin =... | 14 | 30 | 0.538095 | 409 | 0.97381 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 0.107143 |
795999b8a086d2a92c7c0d0019a508d781dcdb36 | 4,889 | py | Python | code/visualization/2020/04/0_0_compression_tucker_sparse_facto_select_lr.py | lucgiffon/psm-nets | dec43c26281febf6e5c8b8f42bfb78098ae7101d | [
"MIT"
] | 1 | 2021-07-15T07:05:18.000Z | 2021-07-15T07:05:18.000Z | code/visualization/2020/04/0_0_compression_tucker_sparse_facto_select_lr.py | lucgiffon/psm-nets | dec43c26281febf6e5c8b8f42bfb78098ae7101d | [
"MIT"
] | 2 | 2021-07-15T06:12:47.000Z | 2021-07-16T10:05:36.000Z | code/visualization/2020/04/0_0_compression_tucker_sparse_facto_select_lr.py | lucgiffon/psm-nets | dec43c26281febf6e5c8b8f42bfb78098ae7101d | [
"MIT"
] | null | null | null | import pathlib
import pandas as pd
from palmnet.visualization.utils import get_palminized_model_and_df, get_df
import matplotlib.pyplot as plt
import numpy as np
import logging
import plotly.graph_objects as go
import plotly.express as px
from pprint import pprint as pprint
mpl_logger = logging.getLogger('matplotlib'... | 40.07377 | 178 | 0.607895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,096 | 0.224177 |
795b1f096f5aa18037e59346d95e4b832947c2de | 8,209 | py | Python | spectrocrunch/sources/tests/test_polarization.py | woutdenolf/spectrocrunch | fde4b6e0f462f464ce7af6a942b355d3d8f39f77 | [
"MIT"
] | 3 | 2018-04-16T15:51:36.000Z | 2019-12-16T11:21:05.000Z | spectrocrunch/sources/tests/test_polarization.py | woutdenolf/spectrocrunch | fde4b6e0f462f464ce7af6a942b355d3d8f39f77 | [
"MIT"
] | null | null | null | spectrocrunch/sources/tests/test_polarization.py | woutdenolf/spectrocrunch | fde4b6e0f462f464ce7af6a942b355d3d8f39f77 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest
import cmath
import numpy as np
from scipy import integrate
from .. import polarization
from ...utils import instance
from ...patch import jsonpickle
class test_polarization(unittest.TestCase):
def _equal_params(self, params1, params2):
for k, v in params1.items()... | 35.081197 | 83 | 0.575466 | 7,239 | 0.881837 | 453 | 0.055183 | 0 | 0 | 0 | 0 | 333 | 0.040565 |
795b834e229f484b2777e3dde64e6efd9b1ae8d7 | 1,166 | py | Python | AlphaDDA1/Othello/ringbuffer.py | KazuhisaFujita/AlphaDDA | 664742567883cf3e08c2c53b3bce3112b8cc0560 | [
"MIT"
] | 11 | 2021-11-13T01:43:28.000Z | 2021-12-19T06:40:34.000Z | AlphaZero/Othello66/ringbuffer.py | KazuhisaFujita/AlphaDDA | 664742567883cf3e08c2c53b3bce3112b8cc0560 | [
"MIT"
] | null | null | null | AlphaZero/Othello66/ringbuffer.py | KazuhisaFujita/AlphaDDA | 664742567883cf3e08c2c53b3bce3112b8cc0560 | [
"MIT"
] | null | null | null | #---------------------------------------
#Since : 2019/04/24
#Update: 2019/07/25
# -*- coding: utf-8 -*-
#---------------------------------------
import numpy as np
class RingBuffer:
def __init__(self, buf_size):
self.size = buf_size
self.buf = []
for i in range(self.size):
self... | 26.5 | 53 | 0.482847 | 999 | 0.856775 | 0 | 0 | 0 | 0 | 0 | 0 | 141 | 0.120926 |
795e54dfa1e363bb6a92f080ec47772f29a13da6 | 811 | py | Python | fastapi_react_admin/__init__.py | sqllq/fastapi-react-admin | a0384061bd36881bcd334edb54eab5ab610ebbfd | [
"MIT"
] | null | null | null | fastapi_react_admin/__init__.py | sqllq/fastapi-react-admin | a0384061bd36881bcd334edb54eab5ab610ebbfd | [
"MIT"
] | null | null | null | fastapi_react_admin/__init__.py | sqllq/fastapi-react-admin | a0384061bd36881bcd334edb54eab5ab610ebbfd | [
"MIT"
] | null | null | null | """
______ _ _ _____ _ _ _
| ____| | | (_) | __ \ | | /\ | | (_)
| |__ __ _ ___| |_ __ _ _ __ _ | |__) |___ ___| |_ / \ __| |_ __ ___ _ _ __
| __/ _` / __| __/ _` | '_ \| | | _ // _ \/ __| __| / /... | 45.055556 | 89 | 0.393342 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 594 | 0.732429 |
795f708e3eddaecd36d179568af03258f48e6ef1 | 8,202 | py | Python | ANOVA.py | AngusNicolson/factorial_experiment_analysis | a499642c38cb22a2ce13b93dda82c622193e7e35 | [
"MIT"
] | null | null | null | ANOVA.py | AngusNicolson/factorial_experiment_analysis | a499642c38cb22a2ce13b93dda82c622193e7e35 | [
"MIT"
] | null | null | null | ANOVA.py | AngusNicolson/factorial_experiment_analysis | a499642c38cb22a2ce13b93dda82c622193e7e35 | [
"MIT"
] | null | null | null | import itertools
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
from scipy.stats import f
from scipy.stats import norm
class ANOVA:
"""Analyse DOE experiments using ANOVA. NB: n > 1 for the code to work, where n is the number of repeats.
Model: y = y_average
i.... | 42.278351 | 157 | 0.617045 | 7,814 | 0.952694 | 0 | 0 | 0 | 0 | 0 | 0 | 2,026 | 0.247013 |
795f95b9ee59eba0d720fd1de7316678421773f4 | 6,010 | py | Python | datmo/core/entity/snapshot.py | datmo/datmo | a456d196006b67ce56af96cb4900682eab747bef | [
"MIT"
] | 331 | 2018-03-30T14:33:59.000Z | 2022-01-10T19:43:32.000Z | datmo/core/entity/snapshot.py | KIMS-Github/datmo | a456d196006b67ce56af96cb4900682eab747bef | [
"MIT"
] | 274 | 2018-04-08T17:12:44.000Z | 2020-07-29T02:45:22.000Z | datmo/core/entity/snapshot.py | KIMS-Github/datmo | a456d196006b67ce56af96cb4900682eab747bef | [
"MIT"
] | 28 | 2018-05-03T21:57:22.000Z | 2020-12-31T04:18:42.000Z | import os
from datetime import datetime
from datmo.core.util.json_store import JSONStore
from datmo.core.util.misc_functions import prettify_datetime, printable_object, format_table
class Snapshot():
"""Snapshot is an entity object to represent a version of the model. These snapshots
are the building blocks ... | 38.280255 | 95 | 0.621631 | 5,824 | 0.969052 | 0 | 0 | 0 | 0 | 0 | 0 | 3,275 | 0.544925 |
7961d1af5a2c494ba659aefe30c177aba0152b99 | 3,895 | py | Python | ranking/train_LM.py | yzhhome/JDQA | 68e1d0259d316b3577a1f2fafa773b50f1885762 | [
"MIT"
] | 1 | 2021-12-21T10:50:21.000Z | 2021-12-21T10:50:21.000Z | ranking/train_LM.py | kalanile/JDQA | 68e1d0259d316b3577a1f2fafa773b50f1885762 | [
"MIT"
] | null | null | null | ranking/train_LM.py | kalanile/JDQA | 68e1d0259d316b3577a1f2fafa773b50f1885762 | [
"MIT"
] | 1 | 2021-12-21T10:50:20.000Z | 2021-12-21T10:50:20.000Z | '''
@Author: dengzaiyong
@Date: 2021-08-21 15:16:08
@LastEditTime: 2021-08-27 19:37:08
@LastEditors: dengzaiyong
@Desciption: 训练tfidf, word2vec, fasttext语言模型
@FilePath: /JDQA/ranking/train_LM.py
'''
import os
from collections import defaultdict
from gensim import models, corpora
import config
import pandas as pd
impo... | 32.458333 | 95 | 0.537869 | 3,564 | 0.877616 | 0 | 0 | 0 | 0 | 0 | 0 | 912 | 0.224575 |
7962461ca47687b7819e6dc00edee38793e1d6d0 | 4,680 | py | Python | dao/ImageDAO.py | NEU-CSYE6225-SEC03/webservice | 416cff5e3c8c88ce59333393a933ea88b3b8e2c0 | [
"MIT"
] | null | null | null | dao/ImageDAO.py | NEU-CSYE6225-SEC03/webservice | 416cff5e3c8c88ce59333393a933ea88b3b8e2c0 | [
"MIT"
] | null | null | null | dao/ImageDAO.py | NEU-CSYE6225-SEC03/webservice | 416cff5e3c8c88ce59333393a933ea88b3b8e2c0 | [
"MIT"
] | 1 | 2022-03-09T23:46:32.000Z | 2022-03-09T23:46:32.000Z | import uuid
import datetime
import pymysql
from tool.Config import Config
from tool.Logger import Logger
class ImageDAO(object):
def __init__(self, connect_pool):
self.connect_pool = connect_pool
async def userImageExist(self, user_id: str):
selectResult = None
async with self.conn... | 37.142857 | 115 | 0.519444 | 4,570 | 0.976496 | 0 | 0 | 0 | 0 | 4,437 | 0.948077 | 715 | 0.152778 |
79627b9bf273d6f20eed09dec297c797623cc255 | 4,773 | py | Python | tests/app/dao/test_inbound_shortnumbers_dao.py | GouvQC/notification-api | e865b8b92a9a45c7cee006f427dcf77d71b09d6d | [
"MIT"
] | 1 | 2021-08-13T13:46:04.000Z | 2021-08-13T13:46:04.000Z | tests/app/dao/test_inbound_shortnumbers_dao.py | GouvQC/notification-api | e865b8b92a9a45c7cee006f427dcf77d71b09d6d | [
"MIT"
] | null | null | null | tests/app/dao/test_inbound_shortnumbers_dao.py | GouvQC/notification-api | e865b8b92a9a45c7cee006f427dcf77d71b09d6d | [
"MIT"
] | 1 | 2021-09-29T18:25:48.000Z | 2021-09-29T18:25:48.000Z | import pytest
from sqlalchemy.exc import IntegrityError
from app.dao.inbound_shortnumbers_dao import (
dao_get_inbound_shortnumbers,
dao_get_inbound_shortnumber_for_service,
dao_get_available_inbound_shortnumbers,
dao_set_inbound_shortnumber_to_service,
dao_set_inbound_shortnumber_active_flag,
... | 39.775 | 125 | 0.803059 | 0 | 0 | 0 | 0 | 516 | 0.108108 | 0 | 0 | 257 | 0.053845 |
7962e2d4ed65e0f87126ca65657b5d805b1ac6cf | 2,363 | py | Python | profiletool.py | SimpleProxy/myproject02 | 13d0c657e2e324af78467eb2edfae2d22669573f | [
"MIT"
] | 1 | 2020-10-21T21:32:42.000Z | 2020-10-21T21:32:42.000Z | profiletool.py | kelvesc/myproject02 | 13d0c657e2e324af78467eb2edfae2d22669573f | [
"MIT"
] | null | null | null | profiletool.py | kelvesc/myproject02 | 13d0c657e2e324af78467eb2edfae2d22669573f | [
"MIT"
] | null | null | null | #!/bin/python3
# -*- coding: utf-8 -*-
# file name: profiletool.py
# standart libraries
from time import sleep
from time import process_time_ns as timer_ns
# to call the respective routines
import subprocess as ps
# local imports
import pyfactorial as pyf
import mathfactorial as mtf
def _vector():
return range(... | 22.084112 | 59 | 0.611934 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 678 | 0.286923 |
7964d5e0d6c5bbff30057dd541992a4595176f15 | 760 | py | Python | urmovie/views/image_view.py | xuyangliu/UR | 8a3c94dd6b6f16bf233167333464c0429ad269d8 | [
"Apache-2.0"
] | null | null | null | urmovie/views/image_view.py | xuyangliu/UR | 8a3c94dd6b6f16bf233167333464c0429ad269d8 | [
"Apache-2.0"
] | null | null | null | urmovie/views/image_view.py | xuyangliu/UR | 8a3c94dd6b6f16bf233167333464c0429ad269d8 | [
"Apache-2.0"
] | null | null | null | # Author:Sunny Liu
from django.shortcuts import HttpResponse
from django.shortcuts import render
from django.shortcuts import redirect
from urmovie import models
from django.views.decorators.csrf import csrf_exempt
import hashlib,os
"""
内容简介：
1.爬虫情况下，对电影封面的添加
"""
@csrf_exempt
def uploadImg(request):
i... | 24.516129 | 52 | 0.665789 | 0 | 0 | 0 | 0 | 480 | 0.601504 | 0 | 0 | 163 | 0.204261 |
7964ebe5d975dfd2d7d9cc2c69f05839abcd1197 | 2,983 | py | Python | fastreid/layers/norm_layers/batch_re_norm2d.py | SZLSP/reid2020NAIC | d0eaee768e0be606417a27ce5ea2b3071b5a9bc2 | [
"Apache-2.0"
] | 2 | 2021-05-12T13:36:46.000Z | 2021-08-15T10:35:08.000Z | fastreid/layers/norm_layers/batch_re_norm2d.py | SZLSP/reid2020NAIC | d0eaee768e0be606417a27ce5ea2b3071b5a9bc2 | [
"Apache-2.0"
] | 1 | 2021-12-28T12:49:49.000Z | 2021-12-28T12:49:49.000Z | fastreid/layers/norm_layers/batch_re_norm2d.py | SZLSP/reid2020NAIC | d0eaee768e0be606417a27ce5ea2b3071b5a9bc2 | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
from torch.cuda.amp import custom_fwd
class BatchReNorm2D(nn.Module):
"""Batch Re-Normalization
Parameters
num_features – C from an expected input of size (N, C, H, W)
eps – a value added to the denominator for numerical stability. Default: 1e-5
momen... | 41.430556 | 168 | 0.636272 | 2,796 | 0.934804 | 0 | 0 | 481 | 0.160816 | 0 | 0 | 1,082 | 0.361752 |
7965ee6a115e0d8899378fe759bfe0554e1bc195 | 1,657 | py | Python | prymate/token/token.py | NightShade256/prymate | deeb81ab685854599d803719971e85ead6699a90 | [
"MIT"
] | 6 | 2020-06-22T14:54:55.000Z | 2021-12-13T12:33:21.000Z | prymate/token/token.py | NightShade256/prymate | deeb81ab685854599d803719971e85ead6699a90 | [
"MIT"
] | null | null | null | prymate/token/token.py | NightShade256/prymate | deeb81ab685854599d803719971e85ead6699a90 | [
"MIT"
] | 1 | 2020-10-11T18:31:57.000Z | 2020-10-11T18:31:57.000Z | import enum
__all__ = ["TokenType", "Token", "lookup_ident"]
class TokenType(enum.Enum):
"""The enumeration for different types of tokens."""
ILLEGAL = "ILLEGAL"
EOF = "EOF"
# Identifiers and literals
IDENT = "IDENT"
INT = "INT"
STRING = "STRING"
# Operators
ASSIGN = "="
PL... | 19.045977 | 65 | 0.540133 | 1,167 | 0.704285 | 0 | 0 | 0 | 0 | 0 | 0 | 554 | 0.334339 |
7966f849a29e53c40e0aa168b93b3cd8e669d4ec | 3,191 | py | Python | Projects/Project 2/program.py | ymirthor/T-215-STY1 | b888da1e88c5aa16eac03353f525e9e0b9d901df | [
"MIT"
] | null | null | null | Projects/Project 2/program.py | ymirthor/T-215-STY1 | b888da1e88c5aa16eac03353f525e9e0b9d901df | [
"MIT"
] | null | null | null | Projects/Project 2/program.py | ymirthor/T-215-STY1 | b888da1e88c5aa16eac03353f525e9e0b9d901df | [
"MIT"
] | null | null | null | from collections import deque as LL
class VM_Manager:
def __init__(self):
self.s_size = 9
self.p_size = 9
self.w_size = 9
self.PM = [None] * 2**19 # PM[524288]
self.D = [[None] * 2**10] * 2**9 # D[1024][512]
self.free_frames = LL([i for i in range(2**10)])
... | 27.991228 | 62 | 0.531808 | 1,551 | 0.486055 | 0 | 0 | 0 | 0 | 0 | 0 | 133 | 0.04168 |
79671fc83f6656f30c6074c1b351a64eeeecad56 | 3,750 | py | Python | src/utils/common/prediction_helper.py | Supreeth-Shetty/Projectathon---Simplified-AI | 3fc26a58a9370d119811ac4e864af977c21f6c40 | [
"MIT"
] | 8 | 2021-12-23T06:05:00.000Z | 2021-12-26T05:39:00.000Z | src/utils/common/prediction_helper.py | Supreeth-Shetty/Projectathon---Simplified-AI | 3fc26a58a9370d119811ac4e864af977c21f6c40 | [
"MIT"
] | null | null | null | src/utils/common/prediction_helper.py | Supreeth-Shetty/Projectathon---Simplified-AI | 3fc26a58a9370d119811ac4e864af977c21f6c40 | [
"MIT"
] | 2 | 2021-12-23T06:10:11.000Z | 2021-12-23T07:24:28.000Z | import os
from flask import session
from src.utils.common.common_helper import load_project_encdoing, load_project_model, load_project_pca, \
load_project_scaler, read_config
from loguru import logger
from from_root import from_root
from src.utils.databases.mysql_helper import MySqlHelper
from src.preprocessing.pre... | 43.604651 | 117 | 0.560533 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 739 | 0.197067 |
796742832becd9376d9f4aeeea9d21e1ba36ad8f | 6,343 | py | Python | admin/views.py | dob9601/CollaboDev | cb1c3e3c6106ec8b0db8b570204b7fd959e0284e | [
"MIT"
] | 7 | 2018-01-22T23:21:42.000Z | 2021-01-27T12:06:02.000Z | admin/views.py | ViesLink/CollaboDev | 1ab51f4d5e58dd8610861095632e1cd7f91edc21 | [
"MIT"
] | 9 | 2018-03-05T23:54:12.000Z | 2022-02-10T10:54:56.000Z | admin/views.py | ViesLink/CollaboDev | 1ab51f4d5e58dd8610861095632e1cd7f91edc21 | [
"MIT"
] | 2 | 2020-09-30T01:27:27.000Z | 2021-01-27T12:05:46.000Z | """Views for admin app."""
import random
import os
import requests
from django.shortcuts import render
from django.contrib.auth.models import User
from django.contrib.auth.decorators import user_passes_test
from django.http import HttpResponseRedirect, JsonResponse
from django.urls import reverse
from djan... | 31.715 | 80 | 0.610752 | 0 | 0 | 0 | 0 | 3,537 | 0.557623 | 0 | 0 | 1,465 | 0.230963 |
7967b563a3566c5502b7994c82c942466d518c87 | 2,035 | py | Python | src/spaceone/repository/api/v1/schema.py | whdalsrnt/repository | 4d019c21508629faae7a7e2789bf540a3bab0e20 | [
"Apache-2.0"
] | 6 | 2020-06-04T23:00:33.000Z | 2020-08-10T02:45:43.000Z | src/spaceone/repository/api/v1/schema.py | whdalsrnt/repository | 4d019c21508629faae7a7e2789bf540a3bab0e20 | [
"Apache-2.0"
] | 4 | 2020-10-09T07:02:27.000Z | 2022-02-28T04:43:01.000Z | src/spaceone/repository/api/v1/schema.py | whdalsrnt/repository | 4d019c21508629faae7a7e2789bf540a3bab0e20 | [
"Apache-2.0"
] | 6 | 2020-06-01T10:10:57.000Z | 2021-10-05T03:03:00.000Z | from spaceone.api.repository.v1 import schema_pb2, schema_pb2_grpc
from spaceone.core.pygrpc import BaseAPI
class Schema(BaseAPI, schema_pb2_grpc.SchemaServicer):
pb2 = schema_pb2
pb2_grpc = schema_pb2_grpc
def create(self, request, context):
params, metadata = self.parse_request(request, contex... | 46.25 | 116 | 0.704668 | 1,925 | 0.945946 | 0 | 0 | 0 | 0 | 0 | 0 | 166 | 0.081572 |
796832284ec5beb0d93e3de2098cee7d04cbed89 | 18,718 | py | Python | examples/connections.py | Thinker83/remote-computer-manager | 1ea8353e77fc13a98625d744162f789503a8f400 | [
"MIT"
] | null | null | null | examples/connections.py | Thinker83/remote-computer-manager | 1ea8353e77fc13a98625d744162f789503a8f400 | [
"MIT"
] | null | null | null | examples/connections.py | Thinker83/remote-computer-manager | 1ea8353e77fc13a98625d744162f789503a8f400 | [
"MIT"
] | null | null | null | from computer_communication_framework.base_connection import Connection
import subprocess
import re
import datetime
class BasePbs(Connection):
"""
This is meant to be a template to create a connection object for a standard PBS/TORQUE cluster. This inherits from the base_connect.Connection class in base_connecti... | 76.713115 | 884 | 0.678865 | 18,600 | 0.993696 | 0 | 0 | 0 | 0 | 0 | 0 | 15,519 | 0.829095 |
796b67b9479d04170cd02e4d71dc7ae51ab5fc75 | 13,795 | py | Python | src/util.py | lambertwang/mastery | 772bdeb10e014391835d267069afc820a113d2b2 | [
"MIT"
] | 1 | 2017-12-01T03:30:34.000Z | 2017-12-01T03:30:34.000Z | src/util.py | lambertwang/mastery | 772bdeb10e014391835d267069afc820a113d2b2 | [
"MIT"
] | 1 | 2017-11-13T18:46:39.000Z | 2017-11-13T18:46:39.000Z | src/util.py | lambertwang/mastery | 772bdeb10e014391835d267069afc820a113d2b2 | [
"MIT"
] | null | null | null | import random
import re
import json
from combat import *
from travel import *
from pdb import set_trace
def load_words(path):
with open(path, 'r') as f:
for line in f:
clean_line = line.strip()
if clean_line and not clean_line[0] == "#":
yield clean_line
class Mark... | 35.01269 | 174 | 0.58137 | 860 | 0.062341 | 202 | 0.014643 | 0 | 0 | 0 | 0 | 7,461 | 0.540848 |
796c208b5ef0105c3a346b49387aabac0584232a | 5,937 | py | Python | soc-tools/reporting/report_splitter.py | michalk68/soc-tools | 8d4c8fd53624817c1126c72d757878f305151446 | [
"MIT"
] | null | null | null | soc-tools/reporting/report_splitter.py | michalk68/soc-tools | 8d4c8fd53624817c1126c72d757878f305151446 | [
"MIT"
] | null | null | null | soc-tools/reporting/report_splitter.py | michalk68/soc-tools | 8d4c8fd53624817c1126c72d757878f305151446 | [
"MIT"
] | 1 | 2020-01-25T08:55:41.000Z | 2020-01-25T08:55:41.000Z | import csv
import argparse
import os
class ReportSplitter:
def __init__(self, values, columns, file, output_folder=None, verbose=False, case_insensitive=True,
contains_value=False):
self.values = values
self.columns = columns
self.file = file
self.output_folder = o... | 41.229167 | 120 | 0.561732 | 4,595 | 0.77396 | 0 | 0 | 0 | 0 | 0 | 0 | 1,255 | 0.211386 |
796dec29764e9116f7092158c4657486b2e11567 | 1,899 | py | Python | go/guru.py | x0rzkov/sublime-go | b77d78594caed017f040fe6c4168e525a563e28b | [
"MIT"
] | 51 | 2019-08-18T18:18:42.000Z | 2022-02-09T07:44:42.000Z | go/guru.py | x0rzkov/sublime-go | b77d78594caed017f040fe6c4168e525a563e28b | [
"MIT"
] | 28 | 2019-08-19T04:10:52.000Z | 2020-12-09T16:39:26.000Z | go/guru.py | localhots/sublime-go | 960e72dafdb6c69d78bb5cbd88052540342517b9 | [
"MIT"
] | 4 | 2019-11-12T20:39:54.000Z | 2021-07-30T09:57:32.000Z |
from . import decorators
from . import exec
from . import log
import os.path as path
import sublime
import time
import json
@decorators.thread
@decorators.trace
def source(view):
locate(view)
def call(mode, filename, region):
"""
Call calls guru(1) with the given `<mode>`
filename and point.
"""
file = "... | 22.879518 | 68 | 0.636651 | 0 | 0 | 0 | 0 | 69 | 0.036335 | 0 | 0 | 421 | 0.221696 |
796e2d57bc64a8e281c2292d35bc9ea91f00edac | 1,344 | py | Python | tests/test_key.py | ksurdacki/cipher21 | 8dfdab32299cb8377435e5f57ec6a9aaf33891eb | [
"MIT"
] | 2 | 2021-05-02T21:15:38.000Z | 2021-05-03T07:45:09.000Z | tests/test_key.py | ksurdacki/cipher21 | 8dfdab32299cb8377435e5f57ec6a9aaf33891eb | [
"MIT"
] | null | null | null | tests/test_key.py | ksurdacki/cipher21 | 8dfdab32299cb8377435e5f57ec6a9aaf33891eb | [
"MIT"
] | null | null | null | from unittest import TestCase
from random import Random
from cipher21.key import Cipher21Key
from cipher21.constants import KEY_LENGTH
class AssessKeyTest(TestCase):
def test_positive_cases(self):
prng = Random() # For test repetitiveness purpose only. Use SystemRandom ordinarily.
prng.seed(0xB... | 37.333333 | 93 | 0.665923 | 1,205 | 0.896577 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 0.081101 |
796f8ea384a7f05b46370bc3b9473a2242391c4a | 357 | py | Python | Problems/String/1209. Remove All Adjacent Duplicates in String II.py | BYJRK/LeetCode-Solutions | 008467e1717309066a519acb8623d2f84071b64a | [
"MIT"
] | null | null | null | Problems/String/1209. Remove All Adjacent Duplicates in String II.py | BYJRK/LeetCode-Solutions | 008467e1717309066a519acb8623d2f84071b64a | [
"MIT"
] | null | null | null | Problems/String/1209. Remove All Adjacent Duplicates in String II.py | BYJRK/LeetCode-Solutions | 008467e1717309066a519acb8623d2f84071b64a | [
"MIT"
] | null | null | null | # https://leetcode.com/problems/remove-all-adjacent-duplicates-in-string-ii/
class Solution:
def removeDuplicates(self, s: str, k: int) -> str:
res = ''
for c in s:
res += c
if res[-k:] == c * k:
res = res[:-k]
return res
s = Solution()
print(s.re... | 21 | 76 | 0.537815 | 214 | 0.59944 | 0 | 0 | 0 | 0 | 0 | 0 | 94 | 0.263305 |
7970c64577da21a05fff8a9ac2d82e4f99958f7a | 4,520 | py | Python | pathUtils.py | Noboxxx/ctrlShaper | 0c1e30610be711f51230a8ebd1288d628409e0f9 | [
"MIT"
] | null | null | null | pathUtils.py | Noboxxx/ctrlShaper | 0c1e30610be711f51230a8ebd1288d628409e0f9 | [
"MIT"
] | null | null | null | pathUtils.py | Noboxxx/ctrlShaper | 0c1e30610be711f51230a8ebd1288d628409e0f9 | [
"MIT"
] | null | null | null | import os
import json
from maya import cmds
import re
def conform_path(path):
return join_path(*split_path(path.replace('\\', '/')))
def join_path(*args):
path = list()
for arg in args:
parts = split_path(arg)
for part in parts:
part = str(part)
if part:
... | 28.074534 | 112 | 0.606195 | 3,780 | 0.836283 | 0 | 0 | 2,201 | 0.486947 | 0 | 0 | 359 | 0.079425 |
797130522e525a58e85e7b3f848947aed4b21310 | 2,150 | py | Python | detro/packages/circledet/network.py | Peiiii/detro | 26d74468d7554dc20b2a2daf7ec5009302c820f2 | [
"MIT"
] | null | null | null | detro/packages/circledet/network.py | Peiiii/detro | 26d74468d7554dc20b2a2daf7ec5009302c820f2 | [
"MIT"
] | null | null | null | detro/packages/circledet/network.py | Peiiii/detro | 26d74468d7554dc20b2a2daf7ec5009302c820f2 | [
"MIT"
] | null | null | null | from .resnet_backbone import resnet18
from torch import nn
import torch
import torch.nn.functional as F
from detro.networks.components import BiFPN, Center_layer, Offset_layer, Reg_layer, Heatmap_layer
from detro.networks.losslib import center_loss, distance_loss
class FeatureFusionNetwork(nn.Module):
def __init_... | 33.59375 | 97 | 0.649767 | 1,415 | 0.65814 | 0 | 0 | 0 | 0 | 0 | 0 | 376 | 0.174884 |
79714648fe909d1ef23cf1429aeb6aaa8d22155b | 2,938 | py | Python | home/forms.py | kana-shimmichi/Weeet | 4e332107748cbf63b6c109d3e5ce968a42ed10c3 | [
"BSD-3-Clause"
] | null | null | null | home/forms.py | kana-shimmichi/Weeet | 4e332107748cbf63b6c109d3e5ce968a42ed10c3 | [
"BSD-3-Clause"
] | 9 | 2021-03-19T00:17:56.000Z | 2022-03-12T00:17:14.000Z | home/forms.py | kana-shimmichi/Weeet | 4e332107748cbf63b6c109d3e5ce968a42ed10c3 | [
"BSD-3-Clause"
] | null | null | null | from django import forms
from .models import MakerProfile,BuyerProfile,MstLang,MstSkill,Contact,Order,OrderMessage
from register.models import User
class UserForm(forms.ModelForm):
class Meta:
model = User
fields = ('last_name', 'first_name')
class MakerProfileForm(forms.ModelForm):
clas... | 29.676768 | 97 | 0.573179 | 2,826 | 0.943258 | 0 | 0 | 0 | 0 | 0 | 0 | 946 | 0.315754 |
7975367638974979532191242ae89eeddc64e809 | 4,418 | py | Python | jacket/compute/opts.py | bopopescu/jacket | d7ad3147fcb43131098c2a5210847634ff5fb325 | [
"Apache-2.0"
] | null | null | null | jacket/compute/opts.py | bopopescu/jacket | d7ad3147fcb43131098c2a5210847634ff5fb325 | [
"Apache-2.0"
] | null | null | null | jacket/compute/opts.py | bopopescu/jacket | d7ad3147fcb43131098c2a5210847634ff5fb325 | [
"Apache-2.0"
] | 2 | 2016-08-10T02:21:49.000Z | 2020-07-24T01:57:21.000Z | # Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy
# of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the Li... | 40.53211 | 85 | 0.716614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 699 | 0.158216 |
7975415464bdf9086363882be5e74bf46c4eaee1 | 5,362 | py | Python | src/simple_regression.py | haojunqiu/csc110-project | f379d66709c89e33a312fb054bc91619e0fe6a92 | [
"MIT"
] | null | null | null | src/simple_regression.py | haojunqiu/csc110-project | f379d66709c89e33a312fb054bc91619e0fe6a92 | [
"MIT"
] | null | null | null | src/simple_regression.py | haojunqiu/csc110-project | f379d66709c89e33a312fb054bc91619e0fe6a92 | [
"MIT"
] | 1 | 2022-01-11T04:26:48.000Z | 2022-01-11T04:26:48.000Z | """CSC110 final project, main module
Descriptions
===============================
This module contains all the functions we used to implement the
simple linear regression model.
Copyright and Usage Information
===============================
All forms of distribution of this code, whether as given or with any chang... | 31.356725 | 92 | 0.619172 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,476 | 0.461768 |
7978c918a22636965af6e68798263bf0533bd12f | 292 | py | Python | exceptions.py | gongchengshi/aws | d04d42739e026d2e99936dd046be05293e063e08 | [
"MIT"
] | null | null | null | exceptions.py | gongchengshi/aws | d04d42739e026d2e99936dd046be05293e063e08 | [
"MIT"
] | null | null | null | exceptions.py | gongchengshi/aws | d04d42739e026d2e99936dd046be05293e063e08 | [
"MIT"
] | null | null | null | class AwsErrorCodes:
SqsNonExistentQueue = 'AWS.SimpleQueueService.NonExistentQueue'
class NonExistantSqsQueueException(Exception):
def __init__(self, queue_name):
self.queue_name = queue_name
Exception.__init__(self, "SQS Queue '%s' no longer exists" % queue_name)
| 32.444444 | 80 | 0.75 | 288 | 0.986301 | 0 | 0 | 0 | 0 | 0 | 0 | 74 | 0.253425 |
797b83c4395d6b6acbe9c60dbd945372be2f9477 | 718 | py | Python | FaceRecogEngine/recognition/urls.py | thecodacus/FaceAuth | dca6d6438426df48cd7e9c9693fa450d817f7d61 | [
"Apache-2.0"
] | 2 | 2018-09-22T18:28:33.000Z | 2021-08-28T17:44:30.000Z | FaceRecogEngine/recognition/urls.py | thecodacus/FaceAuth | dca6d6438426df48cd7e9c9693fa450d817f7d61 | [
"Apache-2.0"
] | null | null | null | FaceRecogEngine/recognition/urls.py | thecodacus/FaceAuth | dca6d6438426df48cd7e9c9693fa450d817f7d61 | [
"Apache-2.0"
] | 1 | 2019-06-05T15:34:59.000Z | 2019-06-05T15:34:59.000Z | from django.contrib import admin
from django.urls import path, include
from . import views
from django.conf import settings
app_name='recognition'
urlpatterns = [
path('', views.Home.as_view(), name='home'),
path('settings/', views.Home.as_view(), name='settings'),
path('login/', views.UserLoginView.as_view()... | 34.190476 | 86 | 0.71727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 180 | 0.250696 |
797d78dc8a7e7f2b8677fa417daf060e2f5479f3 | 2,026 | py | Python | .pre-commit/check_version.py | JPchico/aiida-lammps | 8f618541784bbd6360efc653350570cf76398e83 | [
"MIT"
] | 7 | 2021-02-26T06:12:28.000Z | 2022-03-27T17:06:41.000Z | .pre-commit/check_version.py | JPchico/aiida-lammps | 8f618541784bbd6360efc653350570cf76398e83 | [
"MIT"
] | 21 | 2020-09-18T14:03:16.000Z | 2022-02-14T10:48:40.000Z | .pre-commit/check_version.py | JPchico/aiida-lammps | 8f618541784bbd6360efc653350570cf76398e83 | [
"MIT"
] | 5 | 2018-03-02T23:49:41.000Z | 2020-04-17T05:35:19.000Z | """Validate consistency of versions and dependencies.
Validates consistency of setup.json and
* environment.yml
* version in aiida_lammps/__init__.py
"""
import json
import os
import sys
import click
FILENAME_SETUP_JSON = "setup.json"
SCRIPT_PATH = os.path.split(os.path.realpath(__file__))[0]
ROOT_DIR = os.path.j... | 28.138889 | 118 | 0.661895 | 0 | 0 | 0 | 0 | 1,294 | 0.638697 | 0 | 0 | 877 | 0.432873 |
797dc34e814424ff0892e6ac9838f4607837049a | 7,062 | py | Python | main.py | rorro/legacy-gauntlet | 82898408acee5ddd0c629c15521c7f5f7a8982fe | [
"MIT"
] | null | null | null | main.py | rorro/legacy-gauntlet | 82898408acee5ddd0c629c15521c7f5f7a8982fe | [
"MIT"
] | null | null | null | main.py | rorro/legacy-gauntlet | 82898408acee5ddd0c629c15521c7f5f7a8982fe | [
"MIT"
] | null | null | null | import json
import os
import time
from configparser import ConfigParser
import discord
from discord.ext import tasks, commands
from dotenv import load_dotenv
from datetime import datetime
load_dotenv()
TOKEN = os.getenv('TOKEN')
CONFIG_FILE = 'config.ini'
# Config
config_parser = ConfigParser()
config_parser.read(CO... | 33.15493 | 125 | 0.717927 | 0 | 0 | 0 | 0 | 5,754 | 0.814783 | 5,008 | 0.709148 | 1,634 | 0.231379 |
797e4e1803afd3fcc981a76ff3c6d7fb99ce8aa0 | 7,462 | py | Python | zfunc.py | zhuligs/Pallas | c8d77d0963c080fa7331560f1659001488b0328f | [
"MIT"
] | null | null | null | zfunc.py | zhuligs/Pallas | c8d77d0963c080fa7331560f1659001488b0328f | [
"MIT"
] | null | null | null | zfunc.py | zhuligs/Pallas | c8d77d0963c080fa7331560f1659001488b0328f | [
"MIT"
] | null | null | null | import numpy as np
import itdbase
from itdbase import Cell
import itin
from copy import deepcopy as cp
import cPickle as pick
# from tsase.optimize import MDMin
from ase.optimize.fire import FIRE
# from ase.optimize import BFGS
from ase import *
from ase.io import read, write
import os
import sys
import numpy as np
fr... | 28.158491 | 79 | 0.597829 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,331 | 0.17837 |
797e80a621441acbd16bae2574af1c39fbbbbfb6 | 1,113 | py | Python | ckanext/issues/commands.py | rhabbachi/ckanext-issues | d8c3dde8372e88dd5dc173023df34c90034ca777 | [
"MIT"
] | 8 | 2016-06-16T20:45:54.000Z | 2020-09-24T12:06:15.000Z | ckanext/issues/commands.py | rhabbachi/ckanext-issues | d8c3dde8372e88dd5dc173023df34c90034ca777 | [
"MIT"
] | 50 | 2015-03-25T16:59:11.000Z | 2016-01-10T21:35:26.000Z | ckanext/issues/commands.py | rhabbachi/ckanext-issues | d8c3dde8372e88dd5dc173023df34c90034ca777 | [
"MIT"
] | 11 | 2016-09-14T13:34:53.000Z | 2020-08-28T05:48:58.000Z | from ckan.lib.cli import CkanCommand
import logging
import sys
class Issues(CkanCommand):
"""
Usage:
paster issues init_db
- Creates the database table issues needs to run
paster issues upgrade_db
- Does any database migrations required (idempotent)
"""
summary... | 25.883721 | 69 | 0.57053 | 1,046 | 0.939802 | 0 | 0 | 0 | 0 | 0 | 0 | 423 | 0.380054 |
797ef4080003e9940cfa950023fe499ebb5260ea | 510 | py | Python | wprevents/base/views.py | arroway/wprevents | 5ed14c0e85c1a6463a0e72c94836fae81fbe3fda | [
"BSD-3-Clause"
] | 1 | 2015-02-07T10:04:48.000Z | 2015-02-07T10:04:48.000Z | wprevents/base/views.py | yvan-sraka/wprevents | 03f95150fe7c09338c3a17e00a4b85febef87789 | [
"BSD-3-Clause"
] | 6 | 2015-02-07T10:08:38.000Z | 2021-06-06T13:17:24.000Z | wprevents/base/views.py | yvan-sraka/wprevents | 03f95150fe7c09338c3a17e00a4b85febef87789 | [
"BSD-3-Clause"
] | 4 | 2015-01-20T19:48:31.000Z | 2017-04-08T22:10:52.000Z | from django.http import HttpResponseServerError
from django.shortcuts import render
from django.template import RequestContext
from django.template.loader import get_template
def login(request):
return render(request, 'login.html')
def error404(request):
t = get_template('404.html')
res = HttpResponseServerEr... | 22.173913 | 66 | 0.782353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.062745 |
798152a21d0084126235c34a6bada661f5af6a43 | 1,984 | py | Python | symmetricom_raspberrypi_clock.py | wkumari/symmetricom-nd4-python | 08ff7dc56f52667ad885817a3afbb97c879d5f48 | [
"Apache-2.0"
] | null | null | null | symmetricom_raspberrypi_clock.py | wkumari/symmetricom-nd4-python | 08ff7dc56f52667ad885817a3afbb97c879d5f48 | [
"Apache-2.0"
] | null | null | null | symmetricom_raspberrypi_clock.py | wkumari/symmetricom-nd4-python | 08ff7dc56f52667ad885817a3afbb97c879d5f48 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2017 Warren Kumari
"""
This small program uses a Raspberry Pi Zero W to drive the display portion
of a Symmetricom ND-4 display.
This replaces the processor board of the ND-4, and powers the Pi from the
internal ND-4 power supply. The original processor board simply drives a
MAX7... | 32 | 116 | 0.697077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,362 | 0.686492 |
7981d5f5623d46312039f8e4c8cb2b8fbffad125 | 4,730 | py | Python | tests/test_rtpPayload_ttml.py | bbc/rd-apmm-python-lib-rtpPayload_ttml | 805d13242b44f26f38e5a9d940ee2ec4862528c3 | [
"Apache-1.1"
] | null | null | null | tests/test_rtpPayload_ttml.py | bbc/rd-apmm-python-lib-rtpPayload_ttml | 805d13242b44f26f38e5a9d940ee2ec4862528c3 | [
"Apache-1.1"
] | null | null | null | tests/test_rtpPayload_ttml.py | bbc/rd-apmm-python-lib-rtpPayload_ttml | 805d13242b44f26f38e5a9d940ee2ec4862528c3 | [
"Apache-1.1"
] | null | null | null | #!/usr/bin/python
#
# James Sandford, copyright BBC 2020
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 33.785714 | 79 | 0.65074 | 3,910 | 0.826638 | 0 | 0 | 2,714 | 0.573784 | 0 | 0 | 696 | 0.147146 |
7982421d07b8b666fc8fc840123a2f47aa6edf14 | 860 | py | Python | client-hints/resources/echo-ua-client-hints-received.py | BasixKOR/wpt | aa27d567c10dcdb2aea6884d5155dfaaa177a800 | [
"BSD-3-Clause"
] | null | null | null | client-hints/resources/echo-ua-client-hints-received.py | BasixKOR/wpt | aa27d567c10dcdb2aea6884d5155dfaaa177a800 | [
"BSD-3-Clause"
] | 59 | 2022-01-19T21:35:57.000Z | 2022-03-30T21:35:27.000Z | client-hints/resources/echo-ua-client-hints-received.py | BasixKOR/wpt | aa27d567c10dcdb2aea6884d5155dfaaa177a800 | [
"BSD-3-Clause"
] | null | null | null | import importlib
client_hints_ua_list = importlib.import_module("client-hints.resources.clienthintslist").client_hints_ua_list
def main(request, response):
"""
Simple handler that sets a response header based on which client hint
request headers were received.
"""
response.headers.append(b"Access-Contro... | 35.833333 | 109 | 0.731395 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 274 | 0.318605 |
79836d938d077f9ed2ab86fd140347063a4e8fc0 | 8,892 | py | Python | base/vocab.py | thu-spmi/semi-EBM | 393e3ea3566dd60c48872a5c573a335e8e802707 | [
"Apache-2.0"
] | 2 | 2021-09-18T14:21:24.000Z | 2021-12-20T03:39:13.000Z | base/vocab.py | thu-spmi/semi-EBM | 393e3ea3566dd60c48872a5c573a335e8e802707 | [
"Apache-2.0"
] | null | null | null | base/vocab.py | thu-spmi/semi-EBM | 393e3ea3566dd60c48872a5c573a335e8e802707 | [
"Apache-2.0"
] | 1 | 2021-09-12T07:02:23.000Z | 2021-09-12T07:02:23.000Z | import os
import json
import numpy as np
class Vocab(object):
def __init__(self):
self.word_to_id = dict()
self.count = list()
self.words = list()
self.to_lower = False
# add character information
self.chars = list() # ['a', 'b', 'c', 'd', ...]
... | 36.743802 | 109 | 0.501012 | 8,836 | 0.993702 | 0 | 0 | 0 | 0 | 0 | 0 | 805 | 0.090531 |
7983823b3cdf770a3c86d666eba52cc7de43379b | 2,749 | py | Python | dpfinder/searcher/statistics/ratio/ratio_cdf.py | barryZZJ/dp-finder | ddf8e3589110b4b35920b437d605b45dd56291da | [
"MIT"
] | 15 | 2018-10-19T05:48:17.000Z | 2022-02-14T20:34:16.000Z | dpfinder/searcher/statistics/ratio/ratio_cdf.py | barryZZJ/dp-finder | ddf8e3589110b4b35920b437d605b45dd56291da | [
"MIT"
] | 1 | 2020-04-22T22:55:39.000Z | 2020-04-22T22:55:39.000Z | dpfinder/searcher/statistics/ratio/ratio_cdf.py | barryZZJ/dp-finder | ddf8e3589110b4b35920b437d605b45dd56291da | [
"MIT"
] | 9 | 2018-11-13T12:37:55.000Z | 2021-11-22T11:11:52.000Z | # ==BEGIN LICENSE==
#
# MIT License
#
# Copyright (c) 2018 SRI Lab, ETH Zurich
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the right... | 33.938272 | 87 | 0.75773 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,221 | 0.444162 |
79847f99b109a82c82b372de1f58d473f2ed39a1 | 2,611 | py | Python | psana/psana/pscalib/dcs/lcls1/DCConfigParameters.py | JBlaschke/lcls2 | 30523ef069e823535475d68fa283c6387bcf817b | [
"BSD-3-Clause-LBNL"
] | 16 | 2017-11-09T17:10:56.000Z | 2022-03-09T23:03:10.000Z | psana/psana/pscalib/dcs/lcls1/DCConfigParameters.py | JBlaschke/lcls2 | 30523ef069e823535475d68fa283c6387bcf817b | [
"BSD-3-Clause-LBNL"
] | 6 | 2017-12-12T19:30:05.000Z | 2020-07-09T00:28:33.000Z | psana/psana/pscalib/dcs/lcls1/DCConfigParameters.py | JBlaschke/lcls2 | 30523ef069e823535475d68fa283c6387bcf817b | [
"BSD-3-Clause-LBNL"
] | 25 | 2017-09-18T20:02:43.000Z | 2022-03-27T22:27:42.000Z | ####!/usr/bin/env python
#----------------------------
"""
:py:class:`DCConfigParameters` - class supporting configuration parameters for application
==========================================================================================
See:
* :py:class:`DCStore`
* :py:class:`DCType`
* :py:class:`DCRan... | 32.6375 | 124 | 0.579088 | 1,242 | 0.47568 | 0 | 0 | 0 | 0 | 0 | 0 | 1,599 | 0.612409 |
798a3cc03589f18c700fa6bcef79b697f3535128 | 22,751 | py | Python | limonero/models.py | eubr-bigsea/limonero | 54851b73bb1e4f5626b3d38ea7eeb50f3ed2e3c5 | [
"Apache-2.0"
] | 1 | 2018-01-01T20:35:43.000Z | 2018-01-01T20:35:43.000Z | limonero/models.py | eubr-bigsea/limonero | 54851b73bb1e4f5626b3d38ea7eeb50f3ed2e3c5 | [
"Apache-2.0"
] | 37 | 2017-02-24T17:07:25.000Z | 2021-09-02T14:49:19.000Z | limonero/models.py | eubr-bigsea/limonero | 54851b73bb1e4f5626b3d38ea7eeb50f3ed2e3c5 | [
"Apache-2.0"
] | 2 | 2019-11-05T13:45:45.000Z | 2020-11-13T22:02:37.000Z | import datetime
import json
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import Column, Integer, String, Boolean, ForeignKey, Float, \
Enum, DateTime, Numeric, Text, Unicode, UnicodeText
from sqlalchemy import event
from sqlalchemy.dialects.mysql import LONGTEXT
from sqlalchemy.sql import func
from sqlal... | 33.213139 | 107 | 0.594611 | 21,631 | 0.950771 | 0 | 0 | 1,615 | 0.070986 | 0 | 0 | 4,463 | 0.196167 |
798d2621ee7b1e2db86f8b2f4ca02a4a32de49fa | 398 | py | Python | binary_counting.py | Lioheart/python-samples | de5f82b20fa216178e0084b7693e42df4fcaf883 | [
"Unlicense"
] | null | null | null | binary_counting.py | Lioheart/python-samples | de5f82b20fa216178e0084b7693e42df4fcaf883 | [
"Unlicense"
] | null | null | null | binary_counting.py | Lioheart/python-samples | de5f82b20fa216178e0084b7693e42df4fcaf883 | [
"Unlicense"
] | null | null | null | """
Przemienia liczbę na wartość binarną i zwraca sumę jedynek występującą w wartości binarnej
Example: The binary representation of 1234 is 10011010010, so the function should return 5 in this case
"""
def countBits(n):
# szybsza metoda
# return bin(n).count("1")
final = 0
for x in str(bin(n)):
... | 26.533333 | 103 | 0.660804 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 256 | 0.628993 |
798d7fd532e84917e31256f8642a90e8a7bd3c0f | 2,392 | py | Python | cognite/transformations_cli/commands/deploy/transformation_types.py | cognitedata/transformations-cli | 7466cd8dcb30829793e0026d0b2eae62c3df5f6b | [
"Apache-2.0"
] | 1 | 2022-02-01T09:54:52.000Z | 2022-02-01T09:54:52.000Z | cognite/transformations_cli/commands/deploy/transformation_types.py | cognitedata/transformations-cli | 7466cd8dcb30829793e0026d0b2eae62c3df5f6b | [
"Apache-2.0"
] | 19 | 2021-11-12T13:21:17.000Z | 2022-03-28T14:34:00.000Z | cognite/transformations_cli/commands/deploy/transformation_types.py | cognitedata/transformations-cli | 7466cd8dcb30829793e0026d0b2eae62c3df5f6b | [
"Apache-2.0"
] | null | null | null | from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional, Union
class DestinationType(Enum):
assets = "assets"
timeseries = "timeseries"
asset_hierarchy = "asset_hierarchy"
events = "events"
datapoints = "datapoints"
string_datapoints = "string_datapoint... | 23.45098 | 133 | 0.701923 | 2,195 | 0.917642 | 0 | 0 | 1,379 | 0.576505 | 0 | 0 | 550 | 0.229933 |
798f90e5f4234e1706d47ac52ae151b26363ed30 | 105 | py | Python | autoapi/__init__.py | lhfriedman/sphinx-autoapi | efe815c1df16a616b40b44cb679fda4a4eb7895a | [
"MIT"
] | null | null | null | autoapi/__init__.py | lhfriedman/sphinx-autoapi | efe815c1df16a616b40b44cb679fda4a4eb7895a | [
"MIT"
] | 1 | 2020-07-31T01:19:04.000Z | 2020-07-31T01:19:04.000Z | autoapi/__init__.py | lhfriedman/sphinx-autoapi | efe815c1df16a616b40b44cb679fda4a4eb7895a | [
"MIT"
] | null | null | null | """
Sphinx AutoAPI
"""
from .extension import setup
from ._version import __version__, __version_info__
| 15 | 51 | 0.780952 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.209524 |
798fc2e845f5bf9a57d8e39d930d847c7c266425 | 1,851 | py | Python | org/openbaton/v2/events.py | openbaton/openbaton-cli | 4d2f894c0b6d821fa41e03caca880467de90d8fe | [
"Apache-2.0"
] | 2 | 2017-07-24T11:33:27.000Z | 2020-05-09T00:21:49.000Z | org/openbaton/v2/events.py | openbaton/openbaton-cli | 4d2f894c0b6d821fa41e03caca880467de90d8fe | [
"Apache-2.0"
] | 5 | 2017-06-09T14:28:50.000Z | 2018-07-05T10:46:40.000Z | org/openbaton/v2/events.py | openbaton/openbaton-cli | 4d2f894c0b6d821fa41e03caca880467de90d8fe | [
"Apache-2.0"
] | 2 | 2017-06-09T13:27:27.000Z | 2017-07-18T21:01:59.000Z | import logging
from org.openbaton.v2.cmd import BaseObCmd
from org.openbaton.v2.utils import get_result_to_list, get_result_to_show, parse_path_or_json, result_to_str
class Events(BaseObCmd):
"""Command to manage event endpoints: it is possible to:
* show details of a specific event endpoint passing an ... | 39.382979 | 114 | 0.611021 | 1,680 | 0.907618 | 0 | 0 | 0 | 0 | 0 | 0 | 477 | 0.257699 |
7990148f4b787430b9e80ecbae6f2daea018109e | 6,390 | py | Python | tests/bugs/gh_5995_test.py | FirebirdSQL/firebird-qa | 96af2def7f905a06f178e2a80a2c8be4a4b44782 | [
"MIT"
] | 1 | 2022-02-05T11:37:13.000Z | 2022-02-05T11:37:13.000Z | tests/bugs/gh_5995_test.py | FirebirdSQL/firebird-qa | 96af2def7f905a06f178e2a80a2c8be4a4b44782 | [
"MIT"
] | 1 | 2021-09-03T11:47:00.000Z | 2021-09-03T12:42:10.000Z | tests/bugs/gh_5995_test.py | FirebirdSQL/firebird-qa | 96af2def7f905a06f178e2a80a2c8be4a4b44782 | [
"MIT"
] | 1 | 2021-06-30T14:14:16.000Z | 2021-06-30T14:14:16.000Z | #coding:utf-8
#
# id: bugs.gh_5995
# title: Connection to server may hang when working with encrypted databases over non-TCP protocol [CORE5730]
# decription:
# https://github.com/FirebirdSQL/firebird/issues/5995
#
# Test implemented only to be run ... | 38.035714 | 140 | 0.596557 | 0 | 0 | 0 | 0 | 150 | 0.023474 | 0 | 0 | 5,894 | 0.922379 |
7990913dfb319b60a3a689bb4ec8e33cb489297d | 10,799 | py | Python | mednickdb_pyapi/test_mednickdb_usecases.py | MednickLab/python_module | 818763a70d1058e72ddecfea7e07b88e42b39f3b | [
"MIT"
] | null | null | null | mednickdb_pyapi/test_mednickdb_usecases.py | MednickLab/python_module | 818763a70d1058e72ddecfea7e07b88e42b39f3b | [
"MIT"
] | null | null | null | mednickdb_pyapi/test_mednickdb_usecases.py | MednickLab/python_module | 818763a70d1058e72ddecfea7e07b88e42b39f3b | [
"MIT"
] | 1 | 2018-12-06T21:51:22.000Z | 2018-12-06T21:51:22.000Z | from mednickdb_pyapi.mednickdb_pyapi import MednickAPI
import pytest
import time
import pandas as pd
import pprint
pp = pprint.PrettyPrinter(indent=4)
server_address = 'http://saclab.ss.uci.edu:8000'
file_update_time = 2
data_update_time = 10
data_upload_working = False
def dict_issubset(superset, subset, show_di... | 43.720648 | 215 | 0.682471 | 0 | 0 | 0 | 0 | 8,499 | 0.787017 | 0 | 0 | 3,311 | 0.306602 |
79941e8098ddb85ae7adb492cd1a81eb3262f856 | 4,078 | py | Python | sslcommerz_sdk/store.py | monim67/sslcommerz-sdk | 77219fc90ab12222df2c03abc95c8d2b19768eeb | [
"MIT"
] | 6 | 2021-01-15T13:31:37.000Z | 2021-12-06T13:44:39.000Z | sslcommerz_sdk/store.py | monim67/sslcommerz-sdk | 77219fc90ab12222df2c03abc95c8d2b19768eeb | [
"MIT"
] | null | null | null | sslcommerz_sdk/store.py | monim67/sslcommerz-sdk | 77219fc90ab12222df2c03abc95c8d2b19768eeb | [
"MIT"
] | null | null | null | import requests
from .enums import TransactionStatus
from .exceptions import InvalidPaymentException, SslcommerzAPIException
from .services import PayloadSchema, is_verify_sign_valid
DEFAULT_CONFIG = {
"base_url": "https://sandbox.sslcommerz.com",
"session_url": "/gwprocess/v4/api.php",
"validation_url":... | 37.072727 | 88 | 0.601766 | 3,636 | 0.891614 | 0 | 0 | 0 | 0 | 0 | 0 | 674 | 0.165277 |
7994462d7302f56ae3248adc4074cec0dff871a2 | 1,636 | py | Python | nobrace/converter.py | iblis17/nobrace | 7333029c6cd5f2a885614b5fe64f6c85ee5f296d | [
"MIT"
] | 2 | 2015-07-13T09:08:53.000Z | 2017-05-22T07:56:29.000Z | nobrace/converter.py | iblis17/nobrace | 7333029c6cd5f2a885614b5fe64f6c85ee5f296d | [
"MIT"
] | null | null | null | nobrace/converter.py | iblis17/nobrace | 7333029c6cd5f2a885614b5fe64f6c85ee5f296d | [
"MIT"
] | null | null | null | import abc
import re
from .exceptions import FileSuffixError
from .stack import LineCounter, IndentStack
class ConverterBase(metaclass=abc.ABCMeta):
def __init__(self, src: str):
self.src = src
self.code_blocks
@property
def code_blocks(self):
'''
Aggregate code block in... | 27.728814 | 64 | 0.525672 | 1,527 | 0.933374 | 0 | 0 | 1,395 | 0.852689 | 0 | 0 | 165 | 0.100856 |
7994c8744e38290defb02afb422aa332b6ee9f48 | 541 | py | Python | test/cv2countours.py | taiwc/raspwww | 835befaa9255fe53b7ce97b50f9d825191979eae | [
"Apache-2.0"
] | null | null | null | test/cv2countours.py | taiwc/raspwww | 835befaa9255fe53b7ce97b50f9d825191979eae | [
"Apache-2.0"
] | null | null | null | test/cv2countours.py | taiwc/raspwww | 835befaa9255fe53b7ce97b50f9d825191979eae | [
"Apache-2.0"
] | null | null | null | # import the necessary packages
import numpy as np
import argparse
import cv2
im = cv2.imread('/var/www/test/test.jpg')
cv2.imshow("im", im)
imgray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
ret,thresh = cv2.threshold(imgray,127,255,0)
cv2.imshow("Thresh", thresh)
(cnts, _) = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN... | 31.823529 | 83 | 0.744917 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 157 | 0.290203 |
79954f94e96d2ea0202820bdc5e93050e74cbb64 | 810 | py | Python | migrations/versions/schema/783682226c9b_.py | Georgi2704/pricelist-fastapi-boilerplate | 24b88e1f5c28b7eaff50745cd4464caac6de01e6 | [
"Apache-2.0"
] | null | null | null | migrations/versions/schema/783682226c9b_.py | Georgi2704/pricelist-fastapi-boilerplate | 24b88e1f5c28b7eaff50745cd4464caac6de01e6 | [
"Apache-2.0"
] | 2 | 2021-11-11T15:19:30.000Z | 2022-02-07T22:52:07.000Z | migrations/versions/schema/783682226c9b_.py | Georgi2704/pricelist-fastapi | 24b88e1f5c28b7eaff50745cd4464caac6de01e6 | [
"Apache-2.0"
] | null | null | null | """empty message
Revision ID: 783682226c9b
Revises: b882b9ab026c
Create Date: 2019-10-19 10:07:14.923441
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "783682226c9b"
down_revision = "b882b9ab026c"
branch_labels = None
depends_on = None
def upgrade():
# #... | 25.3125 | 110 | 0.693827 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 418 | 0.516049 |
7996085f7d2fbdd5bdf9904904104dd2b1da88ab | 645 | py | Python | backend/pages/migrations/0002_add_streamfield_option.py | nicoepp/the-prayer-walk | 6c8217c33f399cfe46dc23075e13ca9464079cae | [
"MIT"
] | null | null | null | backend/pages/migrations/0002_add_streamfield_option.py | nicoepp/the-prayer-walk | 6c8217c33f399cfe46dc23075e13ca9464079cae | [
"MIT"
] | null | null | null | backend/pages/migrations/0002_add_streamfield_option.py | nicoepp/the-prayer-walk | 6c8217c33f399cfe46dc23075e13ca9464079cae | [
"MIT"
] | null | null | null | # Generated by Django 3.1.4 on 2021-02-04 05:25
from django.db import migrations
import wagtail.core.blocks
import wagtail.core.fields
class Migration(migrations.Migration):
dependencies = [
('pages', '0001_add_homepage'),
]
operations = [
migrations.AlterField(
model_name='... | 30.714286 | 271 | 0.669767 | 506 | 0.784496 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0.204651 |
79973a1e08549411e3704f4e9cd2dd372854a94e | 2,800 | py | Python | pysnmp/HPN-ICF-FCOE-MODE-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/HPN-ICF-FCOE-MODE-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/HPN-ICF-FCOE-MODE-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module HPN-ICF-FCOE-MODE-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HPN-ICF-FCOE-MODE-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 19:26:43 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (def... | 112 | 477 | 0.777143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,030 | 0.367857 |
799b0a8db84df97948487d6c7aed90ab475e0d53 | 1,212 | py | Python | simulations/yml_to_df.py | danibachar/Kube-Load-Balancing | 8b9ea68ddbb46cc730a02ffe30cc68b3d65ca491 | [
"MIT"
] | null | null | null | simulations/yml_to_df.py | danibachar/Kube-Load-Balancing | 8b9ea68ddbb46cc730a02ffe30cc68b3d65ca491 | [
"MIT"
] | null | null | null | simulations/yml_to_df.py | danibachar/Kube-Load-Balancing | 8b9ea68ddbb46cc730a02ffe30cc68b3d65ca491 | [
"MIT"
] | null | null | null | import argparse
import pandas as pd
from config_builder import build_config
from utils.helpers import load_ymal
def app_dep_graph(yml):
nodes = []
source = []
target = []
print(yml)
for svc_name, service in yml["services"].items():
print(service)
nodes.append(svc_name)
for... | 28.857143 | 77 | 0.632013 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 223 | 0.183993 |
799b58e5ba21ca4170d1a2c3abadcfc25ef8f189 | 1,896 | py | Python | app/core/tests/test_admin.py | wanqian622/recipe-app-api | 040eade8c6636347b6928b6deef7dfc3eaebc6f4 | [
"MIT"
] | null | null | null | app/core/tests/test_admin.py | wanqian622/recipe-app-api | 040eade8c6636347b6928b6deef7dfc3eaebc6f4 | [
"MIT"
] | null | null | null | app/core/tests/test_admin.py | wanqian622/recipe-app-api | 040eade8c6636347b6928b6deef7dfc3eaebc6f4 | [
"MIT"
] | null | null | null | from django.test import TestCase, Client
from django.contrib.auth import get_user_model
# generate url for our django admin page
from django.urls import reverse
# allow us to make test requests to our app
class AdminSiteTests(TestCase):
# the set up test is a function run before every test that we run
def set... | 37.92 | 70 | 0.647152 | 1,688 | 0.890295 | 0 | 0 | 0 | 0 | 0 | 0 | 779 | 0.410865 |
799b9f43022008e2e03ab6f0fb315d88d195a221 | 348 | py | Python | by-session/class-921/week2/poly.py | amiraliakbari/sharif-mabani-python | 5d14a08d165267fe71c28389ddbafe29af7078c5 | [
"MIT"
] | 2 | 2015-04-29T20:59:35.000Z | 2018-09-26T13:33:43.000Z | by-session/class-921/week2/poly.py | amiraliakbari/sharif-mabani-python | 5d14a08d165267fe71c28389ddbafe29af7078c5 | [
"MIT"
] | null | null | null | by-session/class-921/week2/poly.py | amiraliakbari/sharif-mabani-python | 5d14a08d165267fe71c28389ddbafe29af7078c5 | [
"MIT"
] | null | null | null | import turtle
def circle():
while turtle.heading() < 359:
turtle.forward(1)
turtle.left(1)
turtle.left(1)
def poly(r, teta):
n = 360 / teta
while n > 0:
n = n - 1
turtle.forward(r)
turtle.left(teta)
n = 10
while n > 0:
n = n - 1
poly(10, 30)
turtle.... | 14.5 | 33 | 0.522989 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
799c75fdf25b724115e60255f1f09d6eec4d851d | 4,187 | py | Python | ckanext/ckanext-sixodp_scheming/ckanext/sixodp_scheming/helpers.py | Tampere/sixodp-tampere | 975105a5e20e97c54dd7c84c761f91cca1316842 | [
"MIT"
] | 8 | 2016-10-14T14:32:00.000Z | 2022-01-14T16:04:07.000Z | ckanext/ckanext-sixodp_scheming/ckanext/sixodp_scheming/helpers.py | Tampere/sixodp-tampere | 975105a5e20e97c54dd7c84c761f91cca1316842 | [
"MIT"
] | 42 | 2016-11-11T12:24:54.000Z | 2021-07-12T03:29:18.000Z | ckanext/ckanext-sixodp_scheming/ckanext/sixodp_scheming/helpers.py | Tampere/sixodp-tampere | 975105a5e20e97c54dd7c84c761f91cca1316842 | [
"MIT"
] | 7 | 2017-03-13T09:21:08.000Z | 2018-01-08T06:40:22.000Z | from ckan.plugins import toolkit
from ckan.lib.i18n import get_lang
import ckan.lib.i18n as i18n
from ckan.common import config, c
import ckan.logic as logic
import ckan.lib.base as base
import ckan.model as model
from ckan.model.package import Package
from ckan.lib.dictization.model_dictize import group_list_dictize
... | 27.366013 | 119 | 0.64557 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 587 | 0.140196 |
799d1aa404d567219c68dbf1a4e8d983c39bc395 | 389 | py | Python | helpers/cast_heal.py | nuzcraft/RLTut | b763de87ee49abd413a7c3a278c004803ab45663 | [
"MIT"
] | 2 | 2018-01-05T08:09:37.000Z | 2018-01-05T20:39:18.000Z | helpers/cast_heal.py | nuzcraft/RLTut | b763de87ee49abd413a7c3a278c004803ab45663 | [
"MIT"
] | null | null | null | helpers/cast_heal.py | nuzcraft/RLTut | b763de87ee49abd413a7c3a278c004803ab45663 | [
"MIT"
] | null | null | null | # function that heals the player
import variables as var
from helpers.message import message
def cast_heal():
# heal the player
if var.player.fighter.hp == var.player.fighter.max_hp:
message('You are already at full health.', 'red')
return 'cancelled'
message('Your wounds start to feel bet... | 27.785714 | 64 | 0.701799 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 147 | 0.377892 |
79a1df3d282563da1e1751edcf4f307e4b4ca364 | 8,794 | py | Python | notebooks/experiments.py | yashasvi-ranawat/viabel | 99245b7f3db8ea9dc55d6130bd5672e1adc62b63 | [
"MIT"
] | 1 | 2022-02-15T23:43:22.000Z | 2022-02-15T23:43:22.000Z | notebooks/experiments.py | yashasvi-ranawat/viabel | 99245b7f3db8ea9dc55d6130bd5672e1adc62b63 | [
"MIT"
] | null | null | null | notebooks/experiments.py | yashasvi-ranawat/viabel | 99245b7f3db8ea9dc55d6130bd5672e1adc62b63 | [
"MIT"
] | 3 | 2020-03-21T12:45:22.000Z | 2020-10-06T18:30:47.000Z | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
all
from viabel import all_bounds
from viabel.vb import black_box_klvi, black_box_chivi, adagrad_optimize
from utils import Timer
from psis import psislw
## Display bounds information ##
def print_bounds(results):
print('Bounds on...')
... | 41.677725 | 90 | 0.61053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,054 | 0.119854 |
79a273cc97d15a6de92f6c405beb9d31e30fa60e | 6,269 | py | Python | network_filters.py | luos/nova-latency-scheduler | 8e83539ce1dfd080ba86e4e71a2b999e56a91ec8 | [
"MIT"
] | 1 | 2017-03-28T19:02:23.000Z | 2017-03-28T19:02:23.000Z | network_filters.py | luos/nova-latency-scheduler | 8e83539ce1dfd080ba86e4e71a2b999e56a91ec8 | [
"MIT"
] | null | null | null | network_filters.py | luos/nova-latency-scheduler | 8e83539ce1dfd080ba86e4e71a2b999e56a91ec8 | [
"MIT"
] | null | null | null | from abc import ABCMeta, abstractmethod
from collections import namedtuple
from nova.objects.request_spec import RequestSpec
from nova.scheduler.host_manager import HostState
from oslo_log import log as logging
import nova.conf
from nova.scheduler.filters import BaseHostFilter
from latency_meter.server import start_... | 29.7109 | 113 | 0.590206 | 5,641 | 0.899825 | 0 | 0 | 146 | 0.023289 | 0 | 0 | 890 | 0.141968 |
79a4a7145c7782f4c24c78c13d10feef5db3850e | 2,456 | py | Python | data_capture/jobs.py | connectthefuture/calc | 7f0dc01d9265f26a36c2b9b5ee779fe876e4a494 | [
"CC0-1.0"
] | null | null | null | data_capture/jobs.py | connectthefuture/calc | 7f0dc01d9265f26a36c2b9b5ee779fe876e4a494 | [
"CC0-1.0"
] | 1 | 2021-06-10T23:13:04.000Z | 2021-06-10T23:13:04.000Z | data_capture/jobs.py | connectthefuture/calc | 7f0dc01d9265f26a36c2b9b5ee779fe876e4a494 | [
"CC0-1.0"
] | null | null | null | import logging
import traceback
from django.core.exceptions import ValidationError
from django.core.files.base import ContentFile
from django.db import transaction
from django_rq import job
from . import email
from .r10_spreadsheet_converter import Region10SpreadsheetConverter
from contracts.loaders.region_10 import R... | 29.95122 | 79 | 0.735342 | 0 | 0 | 0 | 0 | 2,000 | 0.814332 | 0 | 0 | 462 | 0.188111 |
79a5279be723e7987fc33c8f7184b26de97782d2 | 1,525 | py | Python | rss_temple/api/archived_feed_entry_util.py | murrple-1/rss_temple | 289197923b1e7d1213f1673d164337df17d7269b | [
"MIT"
] | null | null | null | rss_temple/api/archived_feed_entry_util.py | murrple-1/rss_temple | 289197923b1e7d1213f1673d164337df17d7269b | [
"MIT"
] | 8 | 2019-12-04T21:58:35.000Z | 2021-12-15T02:29:49.000Z | rss_temple/api/archived_feed_entry_util.py | murrple-1/rss_temple | 289197923b1e7d1213f1673d164337df17d7269b | [
"MIT"
] | null | null | null | import itertools
from django.conf import settings
from django.dispatch import receiver
from django.core.signals import setting_changed
from api import models
_USER_UNREAD_GRACE_INTERVAL = None
_USER_UNREAD_GRACE_MIN_COUNT = None
@receiver(setting_changed)
def _load_global_settings(*args, **kwargs):
global _US... | 31.122449 | 120 | 0.773115 | 0 | 0 | 634 | 0.415738 | 292 | 0.191475 | 0 | 0 | 14 | 0.00918 |